Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Role Overview

We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

What You'll Do

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

Technical Skills

• Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Preferred: Python or R for data analysis, automation, and statistical modeling
• Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.

Role 

We are looking for an Analyst Workforce Management to join our team. This is a hybrid role based in Zscaler office location in Bangalore, reporting to the Director Workforce Management in the Workforce Management Department. The primary objective is to drive operational efficiency by translating complex historical data into actionable strategies. This ensures that service level agreements (SLAs) are met without over-investing in idle resources.

What you’ll do (Role Expectations)

• Deliver precise demand forecasting to align operational capacity with business needs
• Develop and maintain capacity modeling to ensure optimal resource allocation
• Execute trend analysis and contingency planning to proactively mitigate service risks
• Partner with stakeholders to drive continuous improvement and operational excellence
• Optimize operational performance to balance service delivery with cost efficiency

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.

What We’re Looking for (Minimum Qualifications)

• Minimum 4–5 years of Workforce Management experience, including at least 2 years of proven expertise in forecasting & capacity planning
• Proficiency with WFM tools such as Genesys, NICE, or Aspect, or equivalent statistical software
• Strong understanding of quantitative methods including moving averages, exponential smoothing, and regression analysis
• Professional experience in workforce management, supply chain, or operations management
• Advanced skills in Microsoft Excel and data visualization tools like Tableau or Power BI

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Statistics, Business, Information Technology, or Operations Management
• Proactive and detail-oriented approach to identifying and solving complex capacity constraints
• Ability to synthesize complex data into clear recommendations for executive leadership

#LI-HG1

#LI-Hybrid

Associate – India (Ammonia & Industrial Decarbonisation)

Location: New Delhi, India
Contract: 12-month fixed-term contract, with path to permanent employment

Our Energy Platform designs and implements corporate and country decarbonisation strategies, promotes emerging clean technologies and green technology clusters, and supports the global energy transition at speed and scale. With a growing footprint in India, we are working at the forefront of one of the world’s most consequential energy transitions.

With around 350 people across offices in London, Amsterdam, Berlin, Jakarta, Paris, São Paulo, Nairobi and New York, we are a diverse, mission-driven team united by a shared conviction to accelerate the transition to a sustainable global economy.

Role Overview

Systemiq is seeking a motivated and analytically strong Associate to support the delivery of a flagship initiative aimed at catalysing India’s first wave of low-emissions ammonia investment and accelerating the decarbonisation of the fertiliser sector.

This role sits at the intersection of research, analysis, and stakeholder engagement. The successful candidate will work closely with the Programme Director and Systemiq’s global teams to contribute rigorous analytical outputs, support stakeholder processes, and help build the evidence base for market-shaping decisions.

Working alongside the Programme Director and local partners (including CEEW), the Associate will contribute to both day-to-day delivery and longer-term programme strategy — building skills in energy systems analysis, coalition management, and climate policy.

This is an excellent opportunity for a professional with 3–6 years of experience who is eager to deepen their expertise in industrial decarbonisation and contribute to one of India’s most important climate transitions.

Key Responsibilities

Research & Analysis

• Conduct techno-economic analysis and literature reviews to support programme workstreams on low-emissions ammonia and fertiliser decarbonisation
• Contribute to the development of investment cases, market assessments, and pathway modelling
• Synthesise complex data and insights into clear, actionable outputs for both internal and external audiences
• Use AI and digital research tools to accelerate synthesis and insight generation

Programme Delivery Support

• Support the Programme Director in managing workplans, timelines, and milestones across a multi-year initiative
• Prepare and maintain high-quality documentation, presentations, and reports
• Track programme progress and flag risks or delivery issues in a timely manner
• Coordinate logistics and preparation for stakeholder meetings, workshops, and events

Stakeholder & Coalition Support

• Assist in building and managing relationships with government ministries, fertiliser producers, project developers, and financial institutions
• Support the design and facilitation of coalition structures and working groups
• Prepare briefings, meeting notes, and follow-up materials for senior stakeholder engagements

India Platform Contribution

• Provide on-the-ground support to Systemiq’s growing India presence
• Contribute to internal knowledge management and organisational learning on India’s energy transition
• Support business development and opportunity identification as directed by the Programme Director

Essential Experience

• 3–6 years of experience in strategy consulting, energy, climate, research, or a related analytical field
• Experience in top-tier strategy consulting background is strongly preferred – McKinsey, BCG, Bain
• Demonstrated ability to produce high-quality quantitative and qualitative analysis under time pressure
• Experience contributing to complex projects or programmes in multi-stakeholder environments
• Some exposure to energy systems, industrial sectors, climate policy, or related domains
• Familiarity with applying AI tools to research, synthesis, and data analysis

Core Capabilities

• Strong analytical and problem-solving skills, with an ability to work from first principles
• Excellent written and verbal communication skills, including the ability to distil complex analysis into accessible outputs
• High attention to detail and commitment to quality across all deliverables
• Proactive, collaborative working style with the ability to manage multiple workstreams simultaneously
• Comfort operating in ambiguous, fast-moving environments and taking initiative

Additional Experience

• Understanding of India’s energy, industrial, or policy landscape
• Exposure to fertiliser, ammonia, hydrogen, or broader power-to-x value chains
• Experience working across public, private, or non-profit sectors
• Familiarity with climate finance, carbon markets, or sustainable investment frameworks

What This Role Offers

• Opportunity to contribute to a high-impact initiative critical to India’s energy transition and food system resilience
• Direct exposure to senior policymakers, industry leaders, and financial institutions
• Mentorship and development within a high-performing, mission-driven team
• A clear pathway for progression within Systemiq’s growing India platform
• A collaborative, global work environment with diverse programmes, offices and relationships around the world

Position:  Associate - Business Development

Responsibilities:

• Advise and onboard high net worth individuals and institutional clients from EMEA onto company trading platform
• Coordinate integration project and product optimization for new B2B clients across multiple internal teams, including legal, operations, technology, and client services
• Conduct competitive research and market analysis on financial and brokerage industry
• Participate in client meetings both online and offline (for integration projects only)
• Reach out to a set of assigned Indian retail applications and assist in form filing, opening and funding.

Qualifications, Skills & Attributes:

• Experience: 1-2 years in Brokerage or financial Industry
• Education: Post Graduate (MBA) with 1-2 years of experience or Graduate (Any bachelors degree) with 1-2 years of work experience in Brokerage/Financial Industry
• Proficiency in MS Office
• Language skills: Fluent English
• Good quantitative/analytical skills
• Excellent oral/written communication skills required

Company Benefits & Perks: 

• Competitive salary package.
• Performance based annual bonus (cash and stocks).
• Hybrid working model (4 days office/week).
• Group Medical & Life Insurance.
• Modern offices with free amenities & fully stocked cafeterias.
• Monthly food card & company paid snacks.
• Hardship/shift allowance with company provided pickup & drop facility*
• Attractive employee referral bonus.
• Frequent company sponsored team building events and outings.

* Depending upon the shifts.

**The benefits package is subject to change at the management's discretion.

Job Description and Responsibilities:

Interactive Brokers seeks high-level, serious individuals with a financial services industry background and a professional demeanour suitable for interaction with an experienced and active clientele base. The ideal candidate will have a strong math and technical aptitude, the ability to troubleshoot and explain complex subjects, and the capacity to identify opportunities for technology-based improvements.

Qualifications:

• Respond to retail and professional clients' inquiries via inbound calls, email, and online chat
• Obtain a thorough knowledge of products offered by IB on various global exchanges
• Assist clients with opening and funding accounts
• Show clients how to use different features of the Trader Workstation
• Explain margin requirements to clients
• Investigate trade issues and order executions
• Knowledge of securities regulations impact on customers

• Experience: 2+ years of Client services experience in the International BPO industry
• Education: University degree (Bachelors) required
• High level of MS Excel skills required
• Language skills: Fluent English
• Good quantitative/analytical skills
• Excellent oral/written communication skills are required.

• Competitive salary package.
• Performance-based annual bonus (cash and stocks).
• Group Medical & Life Insurance.
• Modern offices with free amenities & fully stocked cafeterias.
• Monthly food card & company-paid snacks.
• Hardship/shift allowance with company-provided pickup & drop facility*
• Attractive employee referral bonus.
• Frequent company-sponsored team-building events and outings.
  
  

Job Description and Responsibilities:

Interactive Brokers is seeking MBA/Graduate freshers with a finance background and a professional demeanor suitable for interaction with an experienced and active clientele base. The ideal candidate will have a strong math and technical aptitude, the ability to troubleshoot and explain complex subjects, and the capacity to identify opportunities for technology-based improvements.

Qualifications:

Role Overview: 

As a Consultant – Analytics - COE, you will design, execute, and scale analytical workstreams that power ClearView’s client engagements. You will work on projects such as ATUs, forecasting, conjoint analyses, proprietary data mining and survey designing and coding (e.g., Qualtrics), while contributing to tool development and analytics automation for the firm. As a CoE team member, you will support global project teams in structuring, analyzing, and visualizing complex datasets to inform strategic recommendations for life sciences clients. You will combine strong analytical skills with an understanding of life sciences to help answer critical questions across the product lifecycle.

Key Responsibilities:

• Translate business questions into clear analytical approaches, data requirements, and model structures for engagements spanning new product planning, market access, corporate and investor assessments, and diagnostic strategy.
• Collect, clean, structure, and validate data from multiple sources, including sales, claims, epidemiology, primary research outputs, and internal proprietary datasets.
• Design, program, and analyze quantitative surveys, including ATUs, demand assessments, and pricing research; support project teams in defining sampling plans and questionnaire logic.
• Build and maintain quantitative models for market sizing, forecasting (patient based and sales based), patient flow, scenario testing, and pricing / contracting simulations across a variety of therapeutic areas and business questions.
• Conduct conjoint / discrete choice and related trade off analyses, including experimental design, model estimation, and result visualization under guidance from senior team members.
• Support web crawling and data harvesting efforts to automate tracking of markets, competitors, and financial / deal activity where appropriate.
• Develop and maintain reusable analytical assets (e.g., standard forecast frameworks, KPI dashboards, ATU codebooks, pricing simulators) that can support multiple types of strategic work, including launch, access, and corporate growth questions.
• Develop dashboards and visuzalizations (e.g., in Excel, PowerPoint or BI tools) that clearly communicate key findings and trends to internal and client stakeholders.
• Support the creation and refinement of reusable analytical tools and templates (e.g., standard forecast models, patient flow frameworks, KPI trackers).
• Document assumptions, methodologies and data sources to ensure transparency, reproducibility, and efficient hands offs across global teams.
• Collaborate closely with Insights and consulting teams to integrate analytics outputs into cohesive storyline and client deliverables.
• Contribute to internal capability building by sharing analytical best practices and participating in developing training material and code or template libraries.

Qualifications & Requirements:

• 4–6 years of experience in analytics, forecasting, or data driven roles within life sciences consulting, pharma, healthcare analytics, or related sectors; strong analytical internships may be considered.
• Undergraduate or Master’s degree in a quantitative or life sciences field (e.g., engineering, statistics, mathematics, economics, biostatistics, pharmacy, biotechnology).
• Strong quantitative and problem-solving skills, with the ability to decompose ambiguous business questions into structured analytical workplans.
• Advanced Excel skills (e.g., advanced formulas, pivot tables, basic data modeling, Macros/VBA); exposure to forecasting and scenario analysis preferred.
• Experience with at least one analytical or programming tool (e.g., R, Python, SQL, or a BI platform such as Power BI/Tableau) is a plus; willingness to learn these tools is essential.
• Strong attention to detail and comfort working with large or complex datasets, including data integrity checks and reconciliation.
• Clear written and verbal communication skills in English, with the ability to explain analytical approaches and results to non-technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative environment supporting multiple projects and time zones.
• Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office.

Smartsheet is establishing a new Enterprise Insights & Intelligence team to centralize ownership of corporate metrics, analytics governance, and self-serve data enablement. This is a foundational hire — you will help build this function from the ground up, with direct visibility to senior leadership and the opportunity to shape how the entire organisation consumes and trusts its data.

We are looking for a Senior Business Intelligence Engineer who can operate across three strategic pillars: automating and governing corporate executive reporting, standardising metrics and reporting practices at scale, and enabling self-serve and AI-powered data solutions. Day to day, this means you could be building an automated executive scorecard, codifying metric definitions into a governed semantic layer, standing up an AI agent that lets business users query trusted data in natural language, or leading enablement sessions on our analytics platforms. The thread connecting all of it is ensuring that Smartsheet's data is trusted, consistent, accessible, and ready for both human and AI consumption.

This is not a traditional reporting or data science role. You will work across dbt, MetricFlow, Snowflake, and Databricks to build the governed data layer that underpins everything — from board-level scorecards to LLM-powered insights to self-serve dashboards.

You Will

• Design, build, and maintain governed metric models — standardised, reusable definitions of business KPIs that dashboards, reports, and AI agents all query from a single source of truth
• Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
• Conduct deep dives on key KPIs and company goals, surfacing actionable insights and translating short- and long-term business priorities into data-driven recommendations shared via reviews and async updates
• Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
• Build AI agent integrations (MCP servers, skills, subagents) that allow tools like Claude and Snowflake Cortex to query enterprise data through the semantic layer with metric-correct SQL
• Drive self-serve analytics enablement — documentation, training, dashboard quality checks, and experimentation governance across Amplitude, Tableau, and other platforms
• Partner with Product, Engineering, Finance, GTM, and Customer Success to align metric definitions and data sources cross-functionally
• Translate qualitative UX signals and customer feedback into measurable data pipelines

You Have

• Bachelor's degree (B.Tech / B.E. / B.Sc.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
• 5+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
• Experience with KPI design and insight generation — ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
• Familiarity with dbt (dbt Core or dbt Cloud) and concepts like YAML-based metric definitions and reusable data models; hands-on experience is a plus but not required
• Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
• Experience building semantic layers, governed data models, or canonical metric definitions for downstream consumption
• Working familiarity with AI/LLM tooling — concepts such as MCP (Model Context Protocol), agentic frameworks, or tool-use patterns for large language models
• Proficiency with one or more BI/visualisation tools (Tableau, Amplitude, or similar)
• Strong cross-functional collaboration skills and excellent async communication across time zones (IST / US Pacific overlap expected)
• A proactive, ownership-driven mindset — comfortable building new processes and standards in a greenfield environment

Preferred Qualifications

• Experience building AI agent skills, subagents, or MCP server integrations for LLMs
• Hands-on experience using agentic coding platforms (Claude Code, Cursor, Windsurf, etc.) to streamline and automate analytics workflows
• Software engineering experience (Python, JavaScript/TypeScript) with the ability to contribute to application-level instrumentation code
• Experience with event taxonomy design, behavioural analytics pipelines, or product instrumentation (Amplitude, Segment, etc.)
• Familiarity with metric governance frameworks, data catalogues, or data quality tooling
• Prior experience working in a SaaS or enterprise software environment

Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.

Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.

You Will:

• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
• Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
• Mine large datasets to ensure data accuracy and completeness for reporting purposes   
• Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports     
• Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics   
• Automate report generation and distribution to improve efficiency
• Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
• Ensure data governance and data integrity across all reporting tools and platforms
• Proactively identify and propose improvements to existing reporting processes and systems
• Be a mentor and leader to the more junior analysts on the team
• Perform other duties as assigned

You Have:

• Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
• 5+ years of experience in an analytics/engineering role with increasing responsibility
• Experience in Cloud and SaaS go-to-market (GTM)
• Expertise in SQL and preparing data for analysis, modeling, and visualization
• 3+ years of experience using Python for data analysis / automation 
• 3+ years of experience with dbt core
• 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc. 
• Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.) 
• Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.

Nice To Have:

• Experience building ML models
• Proficiency with Tableau preferred
• Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
• Experience publishing and presenting data and findings to executives and non-data users

The Role:

We are looking for a Staff Product Manager for the Merchant Experience Platform within our Omnichannel Fulfillment division. As the PM for this critical platform, you will define and deliver a world-class, seamless merchant experience across the entire journey, from self-serve onboarding and platform configurations to transparent billing and effortless payments. Your mission is to build a fast, intuitive, and reliable platform that serves as the single source of truth for our merchants and powers their success across our logistics ecosystem.

Key Responsibilities:

• Platform Vision & Strategy: Define the multi-year roadmap for the Merchant Experience Platform, encompassing onboarding, integrations, configuration, billing, and payments.
• End-to-End Merchant Journey: Own the experience flow from a merchant's first interaction, through system configuration and data setup, to their ongoing financial transactions and reporting.
• Merchant System Integration Strategy: Drive the strategy for seamlessly integrating with external merchant technologies, including ERP systems (like NetSuite) and e-commerce platforms, ensuring robust data exchange and workflow integrity.
• Billing & Payments Automation: Drive the strategy and execution for automated payment solutions, revenue recognition, and reliable financial reporting.
• Cross-Functional Leadership: Partner with Engineering, Finance, Operations, and Sales to ensure a friction-less merchant journey and accurate financial outcomes.
• Product Leadership & Mentorship: Act as a subject matter expert who coaches and mentors Senior and IC PMs on complex systems thinking, financial modeling, and platform architecture design.

Minimum Qualifications:

• Experience: 8+ years in Product Management, preferably within Logistics Tech, SaaS Integrations, Fintech.
• Technical Proficiency: Deep understanding of APIs, ERP integrations, and financial reconciliation workflows.
• Systems Thinking: You can map out how a physical action in a warehouse triggers reconciliation with a merchant system or triggers a financial event for billing.
• Analytical Rigor: Proven ability to conduct deep quantitative analysis, create complex data models, and use data to diagnose root causes and quantify business impact.
• Problem-Solving Grit: Logistics is messy. You need the ability to find elegant, automated solutions for edge cases and "broken" data.
• Communication: The ability to explain complex financial logic to a software engineer and high-level business impact to a CFO.
• Demonstrated ability to drive results in complex, regulated industries (Logistics, Fintech, Healthcare, etc.).
• Experience owning a product roadmap and delivering measurable business impact (e.g., revenue growth, efficiency gains).

Why This Challenge Matters:

The Merchant Experience Platform is the gateway to Flexport's logistics ecosystem. By owning the entire journey—from an effortless onboarding and configuration process to reliable, transparent billing and payments—you are directly impacting Flexport’s bottom line, driving merchant adoption, and removing the friction that holds global trade back.

Bonus Points if you have:

• Experience with NetSuite, Stripe, or high-volume transactional billing systems.

Why Flexport:

At Flexport, we’re building the future of global trade. Our product team is at the heart of this transformation, driving solutions that have a direct impact on our customers and the logistics industry. We foster a culture of innovation, inclusivity, and continuous learning, giving you the opportunity to work on meaningful, impactful projects while supporting your professional growth.

What's in it for you?

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a thriving multinational environment
• Competitive salary and equity options
• Daily catered lunches, breakfast, snacks and soft drinks available in our office on daily basis
• Comprehensive health and wellness benefits.
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Collaborative, inclusive, and diverse work culture.

Flexport is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or veteran status.

#LI-hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
 

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.

A day in the life (Responsibilities) 

• Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
• Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
• Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
• Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
• Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
• For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
• For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
• Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
• Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
• Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
• Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
• Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.

What you'll need to thrive (Requirements)

• Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
• 5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
• Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
• Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
• Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
• Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
• Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
• Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
• Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
• Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Position Summary:

The candidate will be responsible for the configuration and delivery of client-facing applications.  The candidate may assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. Responsibilities will also include day-to-day maintenance of the health care application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation, root cause analysis, manage communication and client relationship management in partnership with Infrastructure Service Support team members. 

Essential functions of the job include but are not limited to:

• Configure client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Update client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Represents the Application Operations / Development team on all active projects.
• Participates in the daily application operations / development stand-up meetings.
• Follows established procedures for change management across applications where changes are necessary.
• Documents and maintains the application operations / development standard operating procedures.
• Creates WIKI articles for common processes that are repeated and can be shared with others.
• Coordinate with Application Development Team to successfully deploy software releases in both User Acceptance Testing and Production environments.
• Setup environments for all new implementations.
• Configure Single Sign On integrations for client builds.
• Support the development of product unit tests that will be used for future application regression testing.
• Measures application development key performance indicators, for example: bug density, sprint analysis, test coverage, etc.

Future functions of the job include but are not limited to:

• Work with the Product Team to implement new application enhancements and features.
• Ensures all application changes are made in accordance with life-cycle methodology and risk guidelines.
• Interact with end users, internal users, development vendors, data analysts, and other engagement team members.

Minimum Required:

• Bachelors in technology/Engineering (Computer Science or equivalent)
• 2-4 years of experience in related field and working as an application engineer/developer/support (level 1/2)
• Strong grasp on GIT fundamentals and experience with day-to-day usage
• Hands on knowledge of the following tools and technologies: SQL Server, Windows, HTML, CSS, JavaScript, jQuery
• Experience with an Agile Development Lifecycle
• Experience in web application configuration and templating.
• Operational knowledge of Team Foundation Server, or AzureDevOps and Octopus
• Knowledge of continuous integration and deployment methodologies
• Experience with Veeva or Salesforce is a plus

Other Required:

• Working knowledge of US Healthcare / Market Access would be an advantage.
• Azure hosting components
• May require travel domestically and/or internationally including overnight stays up to 5%”

Preferred:

• Experience with Azure DevOps or other CI/CD pipeline tool
• Knowledge of React, Angular, .NetCore
• Working knowledge of one or more EHR software systems such as, Epic and Cerner
• Healthcare standards ex: HL7, SMART on FHIR
• Enterprise application design scalable design
• Experience with Workflow engines
• Experience with Message Queue platforms
• Experience in web application development

Skills:

• Communication Skills - Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects
• Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle

Position Summary:

The candidate will be responsible for the configuration and delivery of client-facing applications.  The candidate may assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. Responsibilities will also include day-to-day maintenance of the health care application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation, root cause analysis, manage communication and client relationship management in partnership with Infrastructure Service Support team members. 

Essential functions of the job include but are not limited to:

• Configure client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Update client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Represents the Application Operations / Development team on all active projects.
• Participates in the daily application operations / development stand-up meetings.
• Follows established procedures for change management across applications where changes are necessary.
• Documents and maintains the application operations / development standard operating procedures.
• Creates WIKI articles for common processes that are repeated and can be shared with others.
• Coordinate with Application Development Team to successfully deploy software releases in both User Acceptance Testing and Production environments.
• Setup environments for all new implementations.
• Configure Single Sign On integrations for client builds.
• Support the development of product unit tests that will be used for future application regression testing.
• Measures application development key performance indicators, for example: bug density, sprint analysis, test coverage, etc.

Future functions of the job include but are not limited to:

• Work with the Product Team to implement new application enhancements and features.
• Ensures all application changes are made in accordance with life-cycle methodology and risk guidelines.
• Interact with end users, internal users, development vendors, data analysts, and other engagement team members.

Minimum Required:

• Bachelors in technology/Engineering (Computer Science or equivalent)
• 1-3 years of experience in related field and working as an application engineer/developer/support (level 1/2)
• Strong grasp on GIT fundamentals and experience with day-to-day usage
• Hands on knowledge of the following tools and technologies: SQL Server, Windows, HTML, CSS, JavaScript, jQuery
• Experience with an Agile Development Lifecycle
• Experience in web application configuration and templating.
• Operational knowledge of Team Foundation Server, or AzureDevOps and Octopus
• Knowledge of continuous integration and deployment methodologies
• Experience with Veeva or Salesforce is a plus

Other Required:

• Working knowledge of US Healthcare / Market Access would be an advantage.
• Azure hosting components
• May require travel domestically and/or internationally including overnight stays up to 5%”

Preferred:

• Experience with Azure DevOps or other CI/CD pipeline tool
• Knowledge of React, Angular, .NetCore
• Working knowledge of one or more EHR software systems such as, Epic and Cerner
• Healthcare standards ex: HL7, SMART on FHIR
• Enterprise application design scalable design
• Experience with Workflow engines
• Experience with Message Queue platforms
• Experience in web application development

Skills:

• Communication Skills - Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects
• Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle

Position Summary:

The candidate will be responsible for the configuration and delivery of client-facing applications.  The candidate may assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. Responsibilities will also include day-to-day maintenance of the health care application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation, root cause analysis, manage communication and client relationship management in partnership with Infrastructure Service Support team members. 

Essential functions of the job include but are not limited to:

• Configure client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Update client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Represents the Application Operations / Development team on all active projects.
• Participates in the daily application operations / development stand-up meetings.
• Follows established procedures for change management across applications where changes are necessary.
• Documents and maintains the application operations / development standard operating procedures.
• Creates WIKI articles for common processes that are repeated and can be shared with others.
• Coordinate with Application Development Team to successfully deploy software releases in both User Acceptance Testing and Production environments.
• Setup environments for all new implementations.
• Configure Single Sign On integrations for client builds.
• Support the development of product unit tests that will be used for future application regression testing.
• Measures application development key performance indicators, for example: bug density, sprint analysis, test coverage, etc.

Future functions of the job include but are not limited to:

• Work with the Product Team to implement new application enhancements and features.
• Ensures all application changes are made in accordance with life-cycle methodology and risk guidelines.
• Interact with end users, internal users, development vendors, data analysts, and other engagement team members.

Minimum Required:

• Bachelors in technology/Engineering (Computer Science or equivalent)
• 1-3 years of experience in related field and working as an application engineer/developer/support (level 1/2)
• Strong grasp on GIT fundamentals and experience with day-to-day usage
• Hands on knowledge of the following tools and technologies: SQL Server, Windows, HTML, CSS, JavaScript, jQuery
• Experience with an Agile Development Lifecycle
• Experience in web application configuration and templating.
• Operational knowledge of Team Foundation Server, or AzureDevOps and Octopus
• Knowledge of continuous integration and deployment methodologies
• Experience with Veeva or Salesforce is a plus

Other Required:

• Working knowledge of US Healthcare / Market Access would be an advantage.
• Azure hosting components
• May require travel domestically and/or internationally including overnight stays up to 5%”

Preferred:

• Experience with Azure DevOps or other CI/CD pipeline tool
• Knowledge of React, Angular, .NetCore
• Working knowledge of one or more EHR software systems such as, Epic and Cerner
• Healthcare standards ex: HL7, SMART on FHIR
• Enterprise application design scalable design
• Experience with Workflow engines
• Experience with Message Queue platforms
• Experience in web application development

Skills:

• Communication Skills - Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects
• Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle

Position Summary:

The candidate will be responsible for the configuration and delivery of client-facing applications.  The candidate may assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. Responsibilities will also include day-to-day maintenance of the health care application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation, root cause analysis, manage communication and client relationship management in partnership with Infrastructure Service Support team members. 

Essential functions of the job include but are not limited to:

• Configure client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Update client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Represents the Application Operations / Development team on all active projects.
• Participates in the daily application operations / development stand-up meetings.
• Follows established procedures for change management across applications where changes are necessary.
• Documents and maintains the application operations / development standard operating procedures.
• Creates WIKI articles for common processes that are repeated and can be shared with others.
• Coordinate with Application Development Team to successfully deploy software releases in both User Acceptance Testing and Production environments.
• Setup environments for all new implementations.
• Configure Single Sign On integrations for client builds.
• Support the development of product unit tests that will be used for future application regression testing.
• Measures application development key performance indicators, for example: bug density, sprint analysis, test coverage, etc.

Future functions of the job include but are not limited to:

• Work with the Product Team to implement new application enhancements and features.
• Ensures all application changes are made in accordance with life-cycle methodology and risk guidelines.
• Interact with end users, internal users, development vendors, data analysts, and other engagement team members.

Minimum Required:

• Bachelors in technology/Engineering (Computer Science or equivalent)
• 2-4 years of experience in related field and working as an application engineer/developer/support (level 1/2)
• Strong grasp on GIT fundamentals and experience with day-to-day usage
• Hands on knowledge of the following tools and technologies: SQL Server, Windows, HTML, CSS, JavaScript, jQuery
• Experience with an Agile Development Lifecycle
• Experience in web application configuration and templating.
• Operational knowledge of Team Foundation Server, or AzureDevOps and Octopus
• Knowledge of continuous integration and deployment methodologies
• Experience with Veeva or Salesforce is a plus

Other Required:

• Working knowledge of US Healthcare / Market Access would be an advantage.
• Azure hosting components
• May require travel domestically and/or internationally including overnight stays up to 5%”

Preferred:

• Experience with Azure DevOps or other CI/CD pipeline tool
• Knowledge of React, Angular, .NetCore
• Working knowledge of one or more EHR software systems such as, Epic and Cerner
• Healthcare standards ex: HL7, SMART on FHIR
• Enterprise application design scalable design
• Experience with Workflow engines
• Experience with Message Queue platforms
• Experience in web application development

Skills:

• Communication Skills - Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects
• Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle

Position Summary: 

Precision AQ’s Product Solutions team is expanding in India.  Our focus is building and delivering products and productized services spanning oncology access, social/digital listening, and clinical trial document analysis.  Working with an established India based engineering/research team and global product managers/product owners, the Product Owner will leverage their experience to bring new capabilities and products to market.   This is a hybrid role having both project management/business analysis (established products) and product management (AI-powered offering) responsibilities.  The Product Owner is a critical role to ensure workload balance across the engineering team while effectively managing timelines.

The Product Owner’s primary responsibility is ownership of the project backlogs in Azure DevOps (ADO).  Ownership includes leading feature/user story grooming, sprint planning, and testing coordination.  They will identify risks to project development and escalate to stakeholders when appropriate.  The ideal candidate is experienced leveraging standard frameworks (Scrum) and modifying to fit the culture of the team and the organization.  

The Product Owner will also serve as the product owner for a new, AI-Powered offering.  This offering combines subject matter experts with AI/ML, Quality and infrastructure engineering to deliver a productized service.  In their role as product owner, they will translate requirements from the subject matter expert and combine with strategy driven by the product manager to build a product backlog.

The successful candidate thrives in fast paced environments and is comfortable speaking up as a trusted partner for the other product owners and product manager.  Strong attention to detail, the ability to find solutions to complex resource constraint challenges, and a positive attitude are critical skills for the Product Owner.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. Project Management & Workflow Management

• Manage product and project backlogs for multiple SaaS/internal products including Epics, Feature, User Stories, Bugs, and tasks
• Ensure consistent intake, triage, tagging, prioritization, and assignment of all product and engineering work items.
• Partner with Product, Engineering, and Research to ensure stories are clear, testable, and aligned to product goals.
• Track sprint progress, dependencies, blockers, and delivery milestones; escalate risks proactively.
• Build dashboards and reporting views for leadership on throughput, velocity, backlog health, and cycle time.

1. Product & Requirements Support

• Collaborate with Product Manager and Product Owners to translate business needs into structured, well defined features, user stories with acceptance criteria.
• Support grooming, sprint planning, and cross functional alignment on requirements.
• Ensure documentation across products remains organized, version controlled, and easily accessible.
• Maintain crosswalks between project management items and client commitments, internal deliverables, and operational processes.

1. Analytics & Data Operations Coordination

• Coordinate product operations tasks (e.g., dataset refreshes, quality checks, dashboard updates).
• Partner with data engineering and QA to ensure data pipelines are represented correctly within project workflows.
• Track testing cycles, defects, validations, and signoffs for new data processes and product features.

1. Process Improvement & Standardization

• Identify bottlenecks in product and data workflows; propose and implement scalable solutions.
• Improve consistency in story writing, sprint hygiene, testing documentation, and release processes.
• Help drive automation and efficiency initiatives across OG and KDS workflows (aligned with PS strategic themes)

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Minimum 5 years’ experience in SAFe/Agile organization in the role of Sr Business Analyst, Product Owner, Project Manager, or related role
• Handson experience with Azure DevOps (mandatory).
• Knowledgeable in software development and other relevant web technologies
• Ability to write clear user stories, requirements, and acceptance criteria.
• Strong organizational and communication skills.
• Experience collaborating with Engineering, Data, and Product teams.
• Comfort working with analytics and datadriven workflows.

Preferred:

• Experience in healthcare analytics, oncology, market access, or life sciences data.
• Experience managing development of AI-enabled solutions
• Experience with product management software systems
• Experience with Scaled Agile Framework for Product Management
• Product Owner Certifications, such as:
• Certified Scrum Product Owner (CSPO) or willingness to certify
• Professional Scrum Product Owner (PSPO)
• SAFe Product Owner
• PMI Agile Certified Practitioner (PMI-ACP)
• EXIN Agile Scrum Product Owner
• Understanding of design quality standards
• Experience managing sprint ceremonies or operational delivery cadences.
• Ability to understand complex datasets and translate them into structured work items.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.

Position Summary:

Precision AQ’s Product Solutions team is expanding its AI and machine learning engineering capabilities in India. This role is responsible for designing, developing, deploying, and scaling production-grade AI/ML solutions that directly support Precision AQ products and productized services across oncology access, analytics, and AI-enabled offerings.

The AI/ML Engineer operates as a hands-on technical contributor, working closely with product management, engineering, data science, and research teams to translate business problems into robust, scalable AI systems. The role spans model development, optimization, deployment, and operationalization, with a strong emphasis on Generative AI, Large Language Models (LLMs), and applied machine learning in real-world production environments.

The successful candidate is technically rigorous, execution-oriented, and comfortable operating in fast-paced, multi-product environments with evolving requirements.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. AI / ML Model Development & Optimization

• Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
• Apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints.
• Optimize model performance across accuracy, latency, scalability, and cost dimensions.
• Conduct rigorous model evaluation, validation, and benchmarking using large-scale datasets.
• Apply data preprocessing, feature engineering, augmentation, and synthetic data generation techniques to improve model robustness.

1. Production Deployment & MLOps

• Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows.
• Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration where applicable.
• Monitor model performance in production; identify drift, degradation, or failures and implement remediation strategies.
• Troubleshoot and resolve AI/ML engineering issues across development and production environments.

1. Cross-Functional Collaboration & Integration

• Partner with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to align AI solutions with business and product objectives.
• Translate product requirements and use cases into technical architectures and model designs.
• Support integration of AI capabilities into customer-facing products and internal platforms.
• Communicate technical concepts, tradeoffs, and limitations clearly to non-technical stakeholders.

1. Data & Domain Application

• Work with structured and unstructured datasets, including healthcare, claims, and life sciences data, to build high-performance AI systems.
• Ensure responsible handling, transformation, and validation of data used for model training and inference.
• Collaborate with data engineering and QA teams to ensure data pipelines and AI workflows are production-ready and auditable.

1. Technical Excellence & Continuous Improvement

• Stay current with advances in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning.
• Contribute to internal best practices, standards, and reusable components for AI/ML development.
• Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing.
• Proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems.

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions.
• Strong proficiency in Python and SQL; experience building scalable ML/NLP workflows.
• Deep hands-on experience with machine learning, deep learning, and natural language processing.
• Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
• Working knowledge of data preprocessing, feature engineering, and model validation practices.
• Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred:

• Experience building AI solutions in healthcare, life sciences, analytics, or regulated data
• Hands-on experience with MLOps frameworks and monitoring strategies.
• Experience integrating AI models into SaaS products or productized services.
• Familiarity with distributed systems, APIs, and modern software engineering practices.
• Exposure to enterprise AI governance, security, or compliance considerations.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.

Position Summary:

Precision AQ’s Product Solutions team is expanding its AI and machine learning engineering capabilities in India. This role is responsible for designing, developing, deploying, and scaling production-grade AI/ML solutions that directly support Precision AQ products and productized services across oncology access, analytics, and AI-enabled offerings.

The AI/ML Engineer operates as a hands-on technical contributor, working closely with product management, engineering, data science, and research teams to translate business problems into robust, scalable AI systems. The role spans model development, optimization, deployment, and operationalization, with a strong emphasis on Generative AI, Large Language Models (LLMs), and applied machine learning in real-world production environments.

The successful candidate is technically rigorous, execution-oriented, and comfortable operating in fast-paced, multi-product environments with evolving requirements.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. AI / ML Model Development & Optimization

• Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
• Apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints.
• Optimize model performance across accuracy, latency, scalability, and cost dimensions.
• Conduct rigorous model evaluation, validation, and benchmarking using large-scale datasets.
• Apply data preprocessing, feature engineering, augmentation, and synthetic data generation techniques to improve model robustness.

1. Production Deployment & MLOps

• Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows.
• Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration where applicable.
• Monitor model performance in production; identify drift, degradation, or failures and implement remediation strategies.
• Troubleshoot and resolve AI/ML engineering issues across development and production environments.

1. Cross-Functional Collaboration & Integration

• Partner with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to align AI solutions with business and product objectives.
• Translate product requirements and use cases into technical architectures and model designs.
• Support integration of AI capabilities into customer-facing products and internal platforms.
• Communicate technical concepts, tradeoffs, and limitations clearly to non-technical stakeholders.

1. Data & Domain Application

• Work with structured and unstructured datasets, including healthcare, claims, and life sciences data, to build high-performance AI systems.
• Ensure responsible handling, transformation, and validation of data used for model training and inference.
• Collaborate with data engineering and QA teams to ensure data pipelines and AI workflows are production-ready and auditable.

1. Technical Excellence & Continuous Improvement

• Stay current with advances in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning.
• Contribute to internal best practices, standards, and reusable components for AI/ML development.
• Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing.
• Proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems.

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions.
• Strong proficiency in Python and SQL; experience building scalable ML/NLP workflows.
• Deep hands-on experience with machine learning, deep learning, and natural language processing.
• Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
• Working knowledge of data preprocessing, feature engineering, and model validation practices.
• Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred:

• Experience building AI solutions in healthcare, life sciences, analytics, or regulated data
• Hands-on experience with MLOps frameworks and monitoring strategies.
• Experience integrating AI models into SaaS products or productized services.
• Familiarity with distributed systems, APIs, and modern software engineering practices.
• Exposure to enterprise AI governance, security, or compliance considerations.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.

Position Summary: 

Precision AQ’s Product Solutions team is expanding in India.  Our focus is building and delivering products and productized services spanning oncology access, social/digital listening, and clinical trial document analysis.  Working with an established India based engineering/research team and global product managers/product owners, the Product Owner will leverage their experience to bring new capabilities and products to market.   This is a hybrid role having both project management/business analysis (established products) and product management (AI-powered offering) responsibilities.  The Product Owner is a critical role to ensure workload balance across the engineering team while effectively managing timelines.

The Product Owner’s primary responsibility is ownership of the project backlogs in Azure DevOps (ADO).  Ownership includes leading feature/user story grooming, sprint planning, and testing coordination.  They will identify risks to project development and escalate to stakeholders when appropriate.  The ideal candidate is experienced leveraging standard frameworks (Scrum) and modifying to fit the culture of the team and the organization.  

The Product Owner will also serve as the product owner for a new, AI-Powered offering.  This offering combines subject matter experts with AI/ML, Quality and infrastructure engineering to deliver a productized service.  In their role as product owner, they will translate requirements from the subject matter expert and combine with strategy driven by the product manager to build a product backlog.

The successful candidate thrives in fast paced environments and is comfortable speaking up as a trusted partner for the other product owners and product manager.  Strong attention to detail, the ability to find solutions to complex resource constraint challenges, and a positive attitude are critical skills for the Product Owner.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. Project Management & Workflow Management

• Manage product and project backlogs for multiple SaaS/internal products including Epics, Feature, User Stories, Bugs, and tasks
• Ensure consistent intake, triage, tagging, prioritization, and assignment of all product and engineering work items.
• Partner with Product, Engineering, and Research to ensure stories are clear, testable, and aligned to product goals.
• Track sprint progress, dependencies, blockers, and delivery milestones; escalate risks proactively.
• Build dashboards and reporting views for leadership on throughput, velocity, backlog health, and cycle time.

1. Product & Requirements Support

• Collaborate with Product Manager and Product Owners to translate business needs into structured, well defined features, user stories with acceptance criteria.
• Support grooming, sprint planning, and cross functional alignment on requirements.
• Ensure documentation across products remains organized, version controlled, and easily accessible.
• Maintain crosswalks between project management items and client commitments, internal deliverables, and operational processes.

1. Analytics & Data Operations Coordination

• Coordinate product operations tasks (e.g., dataset refreshes, quality checks, dashboard updates).
• Partner with data engineering and QA to ensure data pipelines are represented correctly within project workflows.
• Track testing cycles, defects, validations, and signoffs for new data processes and product features.

1. Process Improvement & Standardization

• Identify bottlenecks in product and data workflows; propose and implement scalable solutions.
• Improve consistency in story writing, sprint hygiene, testing documentation, and release processes.
• Help drive automation and efficiency initiatives across OG and KDS workflows (aligned with PS strategic themes)

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Minimum 5 years’ experience in SAFe/Agile organization in the role of Sr Business Analyst, Product Owner, Project Manager, or related role
• Handson experience with Azure DevOps (mandatory).
• Knowledgeable in software development and other relevant web technologies
• Ability to write clear user stories, requirements, and acceptance criteria.
• Strong organizational and communication skills.
• Experience collaborating with Engineering, Data, and Product teams.
• Comfort working with analytics and datadriven workflows.

Preferred:

• Experience in healthcare analytics, oncology, market access, or life sciences data.
• Experience managing development of AI-enabled solutions
• Experience with product management software systems
• Experience with Scaled Agile Framework for Product Management
• Product Owner Certifications, such as:
• Certified Scrum Product Owner (CSPO) or willingness to certify
• Professional Scrum Product Owner (PSPO)
• SAFe Product Owner
• PMI Agile Certified Practitioner (PMI-ACP)
• EXIN Agile Scrum Product Owner
• Understanding of design quality standards
• Experience managing sprint ceremonies or operational delivery cadences.
• Ability to understand complex datasets and translate them into structured work items.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.

***Unfortunately, the Client Services Business Analyst I - Healthcare Data is not able to provide sponsorship now or anytime in the future.***

***This role requires you to be located in the Indianapolis area because this is a hybrid role and requires one a day a week in the office.***

Position Summary: 

The Client Services Analyst will play a critical role in ensuring the successful delivery of services and solutions to our clients.  This position requires a high level of technical expertise along with strong communication skills and a commitment to excellence.  This role will support several clients with oversight from a manager of client services. The ideal candidate will have a strong sense of ownership and accountability, an inquisitive mindset, a background in T-SQL, and the ability to consistently produce high-quality work in a timely manner following a standard process. 

Essential functions of the job include but are not limited to:  

• Analyze client requirements and translate them into technical specifications. 
• Ensure the accuracy and integrity of data by conducting thorough quality checks and validations. 
• Own client jobs making sure they are running smoothly and on-time per established calendar; identify and remediate pain points to continually improve the process. 
• Collaborate with cross-functional teams to deliver value to our clients every day. 
• Maintain clear and effective communication with clients, address issues promptly, and provide regular updates. 
• Respond to and fulfill client tickets and requests in a timely manner with quality. 
• Contribute to client team meetings for client projects and engagements. 
• Take accountability for project deliverables, ensuring they meet the established standards and client expectations. 
• Develop, test, and deploy T-SQL scripts to support various client projects. 
• Implement advanced ETL processes to acquire and load large datasets. 
• Follow established procedures and standards as outlined by leadership. 
• Maintain associated procedural documentation. 
• Evaluate appropriateness of data for ad hoc requests and client projects. 
• Contribute code that is well-documented, logical, and easy to follow. 
• Other duties as assigned. 

Qualifications: 

Minimum Required: 

• Undergraduate degree 
• Experience with relational databases 

Preferred:  

• 1 to 3 years industry experience in either data analytics or healthcare 
• Evident proficiency and hands-on experience using T-SQL in a Microsoft SQL Server environment. 
• Descriptive statistics and/or Pharmaceutical/Healthcare industry experience. 
• Undergraduate degree with a quantitative focus. 

Skills:  

• Excellent communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders. 
• Strong sense of accountability and ownership for delivering high-quality work. 
• Exceptional attention to detail, ensuring accuracy and precision in all tasks. 
• Proficiency in T-SQL with hands-on experience in writing complex queries and scripts. 
• Effective time management skills and ability to keep multiple projects on schedule. 
• Experience in a client-facing role or in the pharmaceutical industry is a plus 
• Ability to work remotely. 
• Strong problem-solving skills and a proactive approach to identifying and addressing issues within established product boundaries. 
• Strong team player with the ability to work and execute independently. 
• Desire for continuous improvement and growth – driven to excel. 
• Demonstrated proficiency in Microsoft Office product suite including PowerPoint, Word, and Excel. 
• Experience in SSIS is a plus but not required. 

#LI-Remote

***Unfortunately, the Client Services Business Analyst II - Healthcare Data role is not able to provide sponsorship now or anytime in the future.***

***This role requires you to be located in the Indianapolis area, and requires one a day a week in the office.***

Product Solutions, part of Precision AQ, accelerates value realization by enabling data science, leveraging analytics, and innovating with technology to transform the way you connect with customers. Is helping patients get the best medicine important to you? Is enabling healthcare providers to make appropriate treatment decisions important to you? Are you detail oriented and passionate about organization? Are you a clear and confident communicator? Do you thrive within a team and company that is highly collaborative? Your dream job is waiting. If you’re a born problem-solver and enjoy when no day is the same - keep reading.

Position Summary: Client Services Business Analyst II – Healthcare Data

We are looking for a highly skilled and collaborative Business Analyst with strong technical expertise and a passion for building trusted partnerships across data, marketing, and cross-functional teams. This role is responsible for developing, organizing, and maintaining complex healthcare data systems while serving as a strategic liaison between technical data work and business-facing clients.

Key Responsibilities:

• Design, develop, and sustain data systems using SQL/T-SQL and related technologies to support analytic readiness across complex healthcare datasets.
• Serve as a subject matter expert on client datasets, maintaining full lifecycle documentation and quality assurance protocols for both recurring reports and new implementations
• Collaborate regularly with marketing clients, project management, client services, and quality assurance teams to align data strategy with business objectives.
• Effectively communicate technical outcomes into clear, business-relevant insights tailored for marketers, client teams, and executive audiences.
• Demonstrated ability to triage client requests, set expectations with stakeholders, and execute complex data workflows with minimal supervision.
• Exceptional organizational and time management skills with the ability to independently manage multiple clients and concurrent development of workstreams.
• Produce reports and dashboards that highlight key performance indicators, uncover operational insights, and support data-driven decision-making.
• Support and guide junior analysts, contributing to a culture of analytical excellence and mentorship.

Qualifications & Experience:

• Bachelor’s degree
• Experience in quantitative and qualitative data analysis required, preferred in a healthcare or pharmaceutical space
• 3–5 years of experience with SQL Server, data integration, ETL development, and data validation techniques.
• Strong command of data storytelling and the ability to explain complex logic to diverse audiences.

Technical & Soft Skills:

• Expertise in SQL, T-SQL, SSIS, and data profiling tools; proficiency with Excel, PowerPoint, PowerBI, Python.
• Demonstrated ability to work independently across multiple priorities while ensuring quality and accuracy.
• Adept at fostering relationships, communicating proactively, and collaborating across internal and external teams.
• Comfortable mentoring and setting quality standards for others in the team.

***Unfortunately, the Client Services Business Analyst II - Healthcare Data role is not able to provide sponsorship now or anytime in the future.***

***This role requires you to be located in the Indianapolis area, and requires one a day a week in the office.***

Product Solutions, part of Precision AQ, accelerates value realization by enabling data science, leveraging analytics, and innovating with technology to transform the way you connect with customers. Is helping patients get the best medicine important to you? Is enabling healthcare providers to make appropriate treatment decisions important to you? Are you detail oriented and passionate about organization? Are you a clear and confident communicator? Do you thrive within a team and company that is highly collaborative? Your dream job is waiting. If you’re a born problem-solver and enjoy when no day is the same - keep reading.

Position Summary: Client Services Business Analyst II – Healthcare Data

We are looking for a highly skilled and collaborative Business Analyst with strong technical expertise and a passion for building trusted partnerships across data, marketing, and cross-functional teams. This role is responsible for developing, organizing, and maintaining complex healthcare data systems while serving as a strategic liaison between technical data work and business-facing clients.

Key Responsibilities:

• Design, develop, and sustain data systems using SQL/T-SQL and related technologies to support analytic readiness across complex healthcare datasets.
• Serve as a subject matter expert on client datasets, maintaining full lifecycle documentation and quality assurance protocols for both recurring reports and new implementations
• Collaborate regularly with marketing clients, project management, client services, and quality assurance teams to align data strategy with business objectives.
• Effectively communicate technical outcomes into clear, business-relevant insights tailored for marketers, client teams, and executive audiences.
• Demonstrated ability to triage client requests, set expectations with stakeholders, and execute complex data workflows with minimal supervision.
• Exceptional organizational and time management skills with the ability to independently manage multiple clients and concurrent development of workstreams.
• Produce reports and dashboards that highlight key performance indicators, uncover operational insights, and support data-driven decision-making.
• Support and guide junior analysts, contributing to a culture of analytical excellence and mentorship.

Qualifications & Experience:

• Bachelor’s degree
• Experience in quantitative and qualitative data analysis required, preferred in a healthcare or pharmaceutical space
• 3–5 years of experience with SQL Server, data integration, ETL development, and data validation techniques.
• Strong command of data storytelling and the ability to explain complex logic to diverse audiences.

Technical & Soft Skills:

• Expertise in SQL, T-SQL, SSIS, and data profiling tools; proficiency with Excel, PowerPoint, PowerBI, Python.
• Demonstrated ability to work independently across multiple priorities while ensuring quality and accuracy.
• Adept at fostering relationships, communicating proactively, and collaborating across internal and external teams.
• Comfortable mentoring and setting quality standards for others in the team.

Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue).  Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players..

What You’ll Do 

• Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports
• Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game
• Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis
• Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting
• Design and implement advanced statistical testing for specific problem-solving needs(e.g. A/B testing)

What We’re Looking For 

• B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
• 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis
• 2+ years’ experience using SQL/Python, including complex queries from multiple data sources
• 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system
• Experience creating, operating and analyzing multiple simultaneous A/B tests
• Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis
• Strong communication and presentation skills, including extensive use of chart and table tools
• Passion for speed and large data sets

Bonus Points 

• Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making.
• Advanced degrees a plus
• 2+ years within the mobile gaming domain
• Strong statistical background
• Experience with R, SAS, SPSS, Matlab or other statistical modeling packages
• Had experience of onboarding/early funnel analysis 

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure!

We are one of the fastest growing startups in FinTech. We are a digital asset brokerage delivering best-in-class pricing and execution capabilities for institutional traders and investors. Our vision is to grow the digital asset ecosystem 1000X with industry-leading prime brokerage solutions. 

Who is on the team? 

We are entrepreneurs. More than half of us have experience founding a company. We come from leading institutions including Google, LinkedIn, JUMP, Citadel, Goldman Sachs, Harvard Business School, Carnegie Mellon, IIT + more. We are backed by some of the best investors in the world including Accel Partners, Flybridge Capital, Lightspeed Venture Partners. 

Impact 

At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. 

Role Overview

As a Quant Developer, you will build and scale the core systems powering our trading and risk infrastructure. This role sits at the critical intersection of quantitative research, trading, and high-performance engineering. You will be responsible for the architectural integrity of our derivatives pricing engines and execution systems, ensuring that complex mathematical models are translated into robust, production-grade code.

You will work directly with Traders and Quants to enable efficient pricing, execution, and real-time risk management across global markets.

What You’ll Do

• High-Performance Engineering: Design and implement low-latency systems for real-time trading and derivative pricing.

• Pricing & Analytics: Build and enhance pricing libraries for complex and exotic instruments, including volatility modeling and correlation structures.

• Execution Systems: Develop sophisticated execution algorithms and optimize order routing and the full trade lifecycle.

• Model Implementation: Collaborate with Quants to translate advanced mathematical models into scalable, numerically stable code.

• Risk & Attribution: Contribute to core risk systems, focusing on real-time metrics, PnL attribution, and complex scenario analysis.

• Data Infrastructure: Improve high-throughput data pipelines for large-scale market data and historical backtesting.

• Complex Problem Solving: Solve challenges across numerical methods, optimization, and distributed systems in a high-stakes environment.

What We’re Looking For

• Education: Degree in Computer Science, Mathematics, Physics, or a related quantitative field.

• Technical Stack: Expert-level Python skills; professional experience with a performance-critical language (C++, Rust, or Java) is highly preferred.

• CS Fundamentals: A deep understanding of data structures, algorithms, and high-performance system design.

• Quantitative Foundation: Solid grasp of probability, statistics, and numerical methods (e.g., Monte Carlo, Finite Difference).

• Domain Expertise: Practical familiarity with derivatives pricing (Options, Futures, Swaps) and financial market mechanics.

• Systems Experience: Proven ability to build distributed systems and data-intensive applications that handle high concurrency.

• Engineering Rigor: Ability to write clean, efficient, and production-quality code with a focus on testing and numerical accuracy.

• Soft Skills: A first-principles thinker and effective communicator who thrives in fast-paced, iterative trading environments.

Nice to Have

• Experience with exotic derivatives (correlation products, structured products).

• Exposure to advanced volatility modeling and market microstructure.

• Hands-on experience with numerical optimization and PDE solvers.

• Prior experience in Crypto, HFT, or low-latency trading environments.

• Familiarity with frontend tools (React) for building internal trading and risk dashboards.
  
  
  

As a quant developer you’ll: 

• Develop tooling and systems to support our trading activities: pricing enhancements for derivatives, execution algos and infrastructure, trading product development, etc. 
• Promote strong collaboration within a cross functional team, including design, product management, traders, quants and trade operations
• Solve technical problems of high scope and complexity. 
• Be involved in some of the most innovative products within the industry, like correlation exotics, missing data vol pricing, etc. 

Job requirements

• A bachelors/masters degree in Computer Science, Mathematics or related field.
• Proficiency in python and preferably a low level language and basics of a UI framework.
• Familiarity with distributed systems.
• Familiarity with Derivative Products or Risk management frameworks.
• Strong understanding of data structures, algorithms, and design patterns.
• Strong problem solving skills
• Strong understanding of data structures, algorithms, and design patterns
• Strong communication skills and collaborative mindset with detail-oriented approach to operations
• Ability to move quickly and adapt to a fast moving environment
• Comfort working in a highly agile, intensively iterative software development process.
• Desire to work in an early stage product startups

Bonus Criteria

• Experience with exotic products
• Experience with numerical methods and optimization 
• Experience with React 

Impact

You will create an open financial system and enable decentralized networks to flourish. The largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights into the crypto industry. You will become the expert on crypto industry trends and market movements. 

You will be responsible for developing a deep understanding of the client segment, including client dynamics & challenges, needs from the sales team, as well as a working knowledge of the products and solutions that are a focus within that client segment. You will also play a critical role in helping understand data and digital components, measuring the success of our marketing outreach, understanding trends, and tying marketing engagement to the growth of our business.

Responsibilities

• Significantly grow our Institutional business by scaling the number of clients and revenue
• Managing and servicing a list of designated clients, or your ‘Book of Business’, as their primary point of contact. This includes:
• Inbound inquiries from the Client segment as well as working with the sales teams on converting outbound leads
• Building long-term relationships with your clients and provide ongoing relationship servicing current clients to enable up-sell / cross-sell opportunities and ensure they are satisfied
• Demonstrate a proactive mindset, constantly thinking ahead and anticipating client needs and/or concerns, while keeping their business goals top-of-mind
• Contribute to the planning and implementation of the client segment in designated region and execute the business strategy surrounding it
• Understand the product offerings in the marketplace and assess the activities of our competitors to proactively satisfy and retain our clients
• Assess client satisfaction and extract key business needs/issues
• Achieve quarterly target metrics and KPIs established by management
• Align with leadership regularly to discuss and optimize strategy and share customer feedback across functions

Required Qualifications

• MBA degree or equivalent practical experience
• 6+ years of experience in a Corporate Relationship Management role at a Bank, Fintech/Financial services or in the Asset management industry
• Superior service skills/"client first" approach resulting in strong customer loyalty, ability to service customers in the given region and being flexible as the role evolves
• An interest in the digital asset space and enthusiasm about FalconX’s products and business model
• Working knowledge in any major asset class (Fixed Income, Forex, Equities, Commodities) and front office experience in handling Spot and derivatives products in any of these asset classes
• Ability to represent the company’s culture and values to our institutional counterparties
• Inclusive team player attitude
• Start-up mindset and go-getter attitude, hunger for scaling business and revenues 

Preferred Qualifications

• Entrepreneurial experience
• Strong analytical skills, both quantitative and qualitative
• Base knowledge of institutional investment strategies and portfolio positioning
• Knowledge and passion for digital assets / crypto
• Knowledge of financial markets and investing
• Strong interpersonal, organisational, and time management skills
• Masters degree in finance
• Experience working with remote teams

Responsibilities

• Be part of a trading systems engineering team, dedicated to building out the core trading platforms.
• Work closely with cross functional teams to improve the system reliability, scalability and security.
• Engage in and improve the quality supporting the platform.
• Build and manage systems, infrastructure and applications through automation.
• Provide operational support to internal teams working on the platform.
• Work on improvements to bring in high efficiency, reduce latency, deploy systems faster.
• Practice sustainable incident response and blameless postmortems.
• Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents.
• Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity.
• Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity.
• Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems).
• Proactive approach to problem analysis and resolution of production incidents.
• Manage Issue tracking and prioritisation of day to day production incidents.
• Manage platform trading support initiatives (e.g. platform monitoring, reporting, release automation).

 Minimum Qualification

• Bachelors with 5+ years of working experience as Site Reliability Engineering (SRE) / Devops Engineer
• Strong knowledge of Linux system internals (kernels, memory management, file systems & network I/O optimization) as well as bash scripting.
• Minimum 3-5 years experience in a Front Office Trading Floor or related application support experience.
• Need to be available to work in US (Night) Shift
• Good product knowledge in financial instruments including experience in managing front to back trading lifecycle and familiar with order life cycle (Equities, FX, Crypto etc).
• Experience with electronic trading platforms and OMS/EMS systems.
• Knowledge of ITIL practices including Incident, Problem and Change management.
• Experience with system monitoring platforms.
• Proven expertise optimizing systems for lowest latency performance and productionizing trading systems, from initial concept to full deployment, including on-prem and colocation.
• Strong working knowledge of network communications fundamentals TCP/IP and UDP
• Knowledge of FIX protocol, as well as familiarity with low latency multicast with Aeron.
• Strong skills around observability, debugging and performance tuning, with a willingness to dive-deep to determine the root cause, 
• Effective communicator, with the ability to explain root causes in plain language, then outline plans and recommendations to remediate and ultimately to execute plans that systematically resolve issues.
• Demonstrated ability to build tools that enable rapid operational triage; leveraging logs, performance telemetry metrics and traces to make Grafana dashboards (or similar) 
• Strong experience deploying and managing Cloud infrastructure with providers like AWS, Azure and/or GCP (accounts, profiles, IAM roles, Policies, service classes, instance types, etc.)
• Strong experience adapting workloads to use Cloud Native technologies, like kubernetes and docker etc. (Dockerfile, docker-compose, helm charts, deploy manifest, ingress wiring, service mesh, etc.)
• Expertise using devops deployment tooling, like Github Actions, Jenkins, ArgoCD and Ansible.
• Hands-on experience developing in one or more programming languages: C, C++, Java, Python, or Go.
• Proficient in utilizing C++ build systems such as CMake and building CI/CD pipelines for trading systems.
• Working knowledge of key backing services like mysql, PostgresDB, Redis, MongoDB, DynamoDB, Kafka, RabbitMQ, etc.

 Key attributes critical to success:

• Strong interpersonal skills and the ability to communicate confidently and clearly with internal teams and external counterparts..
• Ability to analyse complex scenarios from both a technical and business perspective and deliver solutions.
• A sense of urgency, and an ability to deliver to deadlines in an environment where multiple competing requirements are a part of the job.
• Proactivity and a strong ownership ethos, ensuring that queries are resolved through to completion.
• Desire and ability to deliver improvements to the platform.

Preferred Qualification

• Extensive experience with DevOps for Deployment automation and App level support, as well as SRE and/or Linux systems Administrator for systems and infrastructure level support.
• Extensive experience in a Low Latency Electronic trading environment, where high performance is critical at all stages of the infrastructure, network and application design and implementation.
• Expertise in developing advanced observability capabilities (USE-RED signals, Tracing, front end observability etc) 

Bonus Points:

• Experience with hardware acceleration technologies (FPGAs, GPUs, LPU, TPU).
• Experience with financial data security regulations (PCI DSS, SOC 2).
• Familiarity with algorithmic trading strategies and quantitative analysis concepts.

Job Title:  Project Manager 

Location: Mumbai, India

About the role: 

Are you looking for an opportunity to innovate with brands? Involving the development of strategy, creative concepts, content and campaign implementation? This role will be underpinned by passion and ambition, and those with experience in leading digital content and social campaigns within a creative agency will have an advantage. 

The Project Manager is responsible for running creative and production processes and to drive a project from brief to delivery. They work with the Account Manger and Resourcing Team to schedule projects and resource and help source the right talents, both internally and externally, to fulfill projects to the highest standards. They have a good understanding of digital disciplines, and are confident working in agency teams. They create timing plans and budgets within our Traffic system, assume responsibility for the review and approval process of creative output and ensure the projects they own, run on time and on budget. 

You will need to be great with creative teams and account teams alike, hard working and passionate about creative and producing the best product you can. Process is key, and someone who really respects and understands that, although creative needs freedom, it also needs to follow a framework and process to allow it to thrive. 

This role will be underpinned by passion and ambition, and those with experience in running digital content and social campaigns within a creative agency will have an advantage. What we want to see is a proven track record of producing multiple complex projects. You should have meticulous attention to detail, understand the importance of the profitability of your projects for the agency and you will have proven yourself as a safe pair of hands on the day-to-day running of multiple prestigious projects. 

Most important, this role requires a courteous, positive and high-energy individual with great people skills. We value hard work, and we want to have fun doing it.   

  
What you will be doing: 

Project Set Up: 

• Taking overall ownership of integrated creative projects from brief to fulfillment. 
• Working closely with strategy and account teams in preparing advertising strategy and milestones for the client. 
• Liaising with clients to determine campaign scope and produce estimates and schedules. 
• Identifying, exploiting and managing ad hoc opportunities when they arise. 
• Working with account teams to agree and create timing plans and estimates within our internal Traffic system. 
• Estimating complex, cross-platform projects. 

 Project Delivery: 

• Schedule projects in line with the correct internal resource and help to source external resource where necessary. 
• Ensure projects follow the agency process and are completed on time and on budget. 
• Work closely with Digital / Print Producers to unify skills needed to execute integrated campaigns. 
• Motivate and manage teams under tight deadlines. 
• Educate and manage internal stakeholders in relevant production processes where necessary. 
• Drive efficiency and creative excellence at all times. 

Reporting 

• Provide job reporting to the Group Account Director on a regular basis to ensure projects are running correctly, to budget and schedule. 
• Ensures they understand how to report and manage operational income for their projects in a timely and accurate manner. 
• Escalates any queries concerning invoicing, or estimates provided by the studio on their projects to GAD. 

What you need to be great in this role: 

• Experience managing digital and integrated campaigns in a creative and production agency. 
• Be unafraid to ask questions and have an innate ability to identify and manage project risk. 
• Strong track record in executing campaigns across multiple platforms. 
• Used to leveraging the experience of video and photography Producers as part of a holistic approach to campaign execution. 
• Previous experience of Project Budget Management and Scheduling. 
• Previous experience of Resource and Production services sourcing. 
• Excellent client engagement skills with the ability to proactively organise and influence clients and build strong and effective working relationships. 
• Have a positive, can-do outlook, willing to leverage past experience to provide the best solution for each project you own. 
• Be willing to share your experience where relevant and when it adds to the offering to the client. 
• Be financially conscientious when managing the delivery of a project ensuring all relevant parties are aware of financial implications of delays, additional amends and re-briefs. 
• Be able to verify the qualitative and quantitative output of a project against the project objectives. 
• Act as the first line of contact and digital expert for the Client and Account Mangers in the life cycle of a digital project. 
• Understanding of how to integrate with a client-side team whilst maintaining a top tier agency service. 
• Knowledge of creating content for CMSs and E-commerce would be a bonus. 
• Passion for and inquisitive about AI and new technologies  
• Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical 

Req ID: 17495

#LI-DB1 #LI-Onsite

More about the role:

Burson is the global communications leader built to create value for clients through reputation. With highly specialized teams, industry-leading technologies, and breakthrough creative, we help brands and businesses redefine reputation as a competitive advantage so they can lead today and into the future. Burson is part of WPP (LSE/NYSE: WPP), the creative transformation company.

The Account Manager– Marketing Communications at Burson Group India will be responsible for determining the marketing strategy of the firm & lead all outreach initiatives for marketing the firm. The individual will take full responsibility for the reputation management of the firm along with the leadership.

The purpose of this role is to have an impact on the Burson Group India brand through progressive marketing strategies across all media. To develop, establish and maintain marketing strategies to meet organizational objectives. Effective management of the marketing, advertising, sponsorships, and promotional activities of the organization. Responsible for external communication, supporting new services and partnerships, messaging & content creation, conceptualizing special events, sponsorships & promotions, and thought leadership initiatives of the firm. Experience in identifying target audiences and devising campaigns that engage, inform, and motivate them. An organized individual, with excellent time-management skills. Creative thinker, able to work under pressure & meet deadlines. Persuasive, enthusiastic and tenacious.

What you'll do:

Technical Competency

This section describes the key areas in which this role will need to deliver results.  Technical Competencies are measurable skills for an individual to succeed in this role.

 Marketing Acumen:

• Develops and executes marketing plans and programs, both short and long term in line with the firm’s Business Strategy, in consultation with the CM&GO – Burson Group India or as aligned.
• Research analyzes, and monitors communications industry trends so that marketing opportunities may be capitalized, and the effect of competitive activity may be minimized.
• Creation and publication of all marketing material in line with company messaging and marketing plans.
• Plans and oversees the organization’s promotion activities including print, electronic, and direct mail outlets.
• Communicate with external partners on ongoing campaigns.
• Overall responsibility for brand management and corporate identity
• Works with writers and designers, overseeing copywriting, design, layout, and production of marketing materials.
• Working in collaboration with Burson Group India’s Digital Marketing expert for online campaigns
• Ensures effective control of marketing results and that corrective action takes place to be certain that the achievement of marketing objectives are within designated budgets.
• Maintain effective internal communications to ensure that all relevant company functions are kept informed of marketing objectives.
• Implementing the Marketing Calendar (Events, Awards, Publications, Speaking Opportunities, Sponsorships, Partnerships etc.).
• Facilitates new business process across practices (Case Studies, Playbook, Credentials, Bios, Role Scope & Financial Proposal Templates etc.)
• Create, edit, storyboard, and manage entire awards entry process on behalf of Burson Group India and its clients.
• Supervises the Marketing Section on SharePoint and ensures all marketing knowledge is updated
• Ensure compliance with all systems, processes and policies.

 Fiscal Management

• Manage the implementation, tracking and measurement of integrated marketing campaigns, on time and within budget.
• Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions.
• Develop short and long-term plans and budgets for PR programs and their activities, monitor progress, assure adherence, and evaluate performance.

 Team Leadership Skills

• Act as a leader to client teams and oversees team performance by prioritizing responsibilities and delegating tasks according to the capabilities and experience of team members and client budget and needs.
• Ensures that teams are equipped with the right resources, tools, and training to build high performing teams and manage workloads.
• Is an active mentor who serves as a trusted coach and is available in formal and informal ways to guide professional development and grow and retain talent.
• Fosters teamwork and builds morale and motivation within account teams, ensuring that good performance and efforts are recognized.
• Takes an active interest in the career development of team members, sets realistic and achievable qualitative and quantitative goals for team members in performance appraisals and follows-up regularly.
• Develops the team’s expertise in clients’ business and conducts on-the-job training and formal training sessions as appropriate.

 Behavioural Competency Requirements

• This section describes the Behavioural Competencies that are critical to succeed in this role. Behavioural Competencies are measurable characteristics that contribute to improved performance.

Personal Learning

• Picks up on the need to change personal, interpersonal, and managerial behaviour quickly; watches others for their reactions to his/her attempts to influence and perform and adjusts; seeks feedback; is sensitive to changing personal demands and requirements and changes accordingly.

 Business Acumen

• Knows how businesses work; knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization; knows the competition; is aware of how strategies and tactics work in the marketplace.

Developing Direct Reports and Others

• Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person’s career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the development system in the organization; is a people builder.

Negotiating

• Can negotiate skilfully in tough situations with both internal and external groups; can settle differences with minimum noise; can win concessions without damaging relationships; can be direct and forceful as well as diplomatic; gains trust quickly by other parties to the negotiations; has a good sense of timing.

Experience that contributes to success:

• Minimum 4+ years of experience in marketing communications, with at least one year leading a team.
• Bachelor’s degree in, Communications, or a related field.

So, what’s the role all about?

NICE, the market leader in cloud-based contact center technology, is looking for an experienced Solution Consultant to excite potential customers about its extensive portfolio and aid them in ultimately becoming a NICE customer.  A successful Solution Consultant will work consultatively with prospects to identify their goals and business drivers, and creatively design a solution that will meet the ever-growing demands of their contact center needs. This position will provide dedicated sales support to the Enterprise, BPO and SMB sales teams by exceeding the below expectations.

How will you make an impact?  

• Proactively identifying and addressing our customer's technical needs and objections to drive new sales, and existing account expansion.
• Actively learning and mastering the NICE software portfolio at an intermediate level, in order to creatively apply our technology to help our customers achieve their business goals.
• Critically evaluating the technical sustainability of each new sales opportunity or Request for Proposal, ensuring that our contractual obligations to each new customer are accurate, and can be delivered in a timely manner.
• Helping facilitate a smooth transition from pre-sales to implementation by providing adequate knowledge transfer regarding the scope and requirements of the project, ensuring a seamless onboarding experience.
• Protecting NICE from projects where technical challenges outweigh the value of a technically problematic opportunity, and long-term partnership.
• Assisting our Sales team through preparation and delivery of business discussions, technical presentations, and product demonstrations, by carefully mapping customer business requirements to effective value driven technical solutions leveraging the NICE software portfolio.
• Proactively identifying customer needs through a technical benefits assessment, carefully building the business value of the solution, in order to assist with overcoming potential objections to proposed technical solutions.
• Meeting with our prospective customers as a trusted technical advisor, developing a deep understanding of their current environment, key business challenges and goals, and helping prospective customers envision the benefits that can be realized through an advanced contact center deployment with NICE.
• Gathering valuable field data and product feedback from each customer engagement and working directly with Product Management to facilitate ideas for the long-term technical direction and development of NICE’s software portfolio.
• Providing an open and continuous knowledge transfer to the overall Sales Team and newly hired SEs, highlighting the technical aspects and benefits of our solution, and how to competitively position each product.
• Delivering partner enablement activities, ranging from ad-hoc updates to extended knowledge transfer sessions.
• Building and maintaining demo environments both for internal NICE usage and for our partners.
• Assisting in the preparation and response to customer RFP requests, carefully qualifying the prospective deal for technical feasibility.
• Scoping and building proofs of concept for prospective customers that require a hands-on experience of NICE products, to confirm the required performance of the solution within their environment.
• Developing detailed solution design documentation for each new customer, which will serve as the foundation of our technical engagement, and act as a bridge to seamlessly engage our Professional Services Organization, to provide the most effective onboarding experience.
• Continuously building and maintaining relationships with key stakeholders in each sales cycle, including executive, financial, technical decision makers and influencers within each of our prospects.

Have you got what it takes?  

• Bachelor’s degree in computer science, IT/Business Information Systems, Communications or related field or equivalent work experience required.
• Strong background & experience in AI /GenAI-powered Virtual Agent, Agent Assist, Agentic AI, Knowledge Management
• Good knowledge of CCaaS- Omni-channel/digital, Proactive, ACD/Dialer, IVR, CRM capabilities & use-cases
• Good Knowledge of contact center operations & applications- Workforce Engagement Management (Recording, Quality & Performance Management, Workforce Management), Interaction Analytics & Automation (RPA), Voice of the Customer (VoC)
• Basic knowledge of IP telephony, SIP trunk, WebRTC
• Basic knowledge of cloud security
• Exceptional written and verbal communication skills
• Excellent interpersonal skills with the ability to effectively listen to quickly assess the situation and then convey thoughts and ideas in a clear and concise manner.
• Strong presentation skills – must possess the ability to sell and effectively build credibility in front of all levels of management, including an executive audience.
• Analytical and quantitative abilities required – Must be able to interpret and explain financial and statistical information.
• Min 12+ years of Pre- sales experience
• Ability to manage multiple competing priorities and work effectively under the pressure of time constraints in a fast-paced, collaborative environment
• Experience with programming or scripting languages such as Java script or Python, and including use of REST APIs.
• Detail-oriented, but able to digest the critical elements of a situation to withstand being hyper-focused on the minutia.
• Ability to multi-task in a challenging environment while maintaining a high level of ownership and responsiveness.

What’s in it for you?  

• Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!  

Enjoy NiCE-FLEX!   

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.  

Requisition ID: 10493
Reporting into: Director, Portfolio Solution Engineering
Role Type: Individual Contributor  

About the Company: 

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. 

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid? 

Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo. Vibrant inclusive culture of mutual respect and fun through both work and play. 

About the Role: 

Sigmoid is looking to onboard a Senior Leader for our FS Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the Financial services space must understand the interconnectedness of Financial Products & Market Dynamics. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our BFSI practice. 

The role requires a strong portfolio leader responsible for managing 3–6 key accounts across a mix of new business development (hunting) and account growth (farming). The individual will typically oversee a team of approximately 15–70 members while managing an annual revenue portfolio in the range of $15M–$60M. The role involves hands-on involvement in sales, client relationship management, and delivery oversight. 

Roles and Responsibilities: 

• An FS expert must understand how the "engine" of different sub-sectors works.
• Banking: Retail (mortgages, cards), Commercial (trade finance, treasury), and Investment Banking (M&A, capital markets).
• Insurance: Life and Annuities vs. P&C (Property & Casualty), including underwriting cycles, reinsurance, and claims transformation.
• Wealth & Asset Management: Fee structures, fiduciary duties, and the shift toward "hyper-personalization" in portfolio management.
• Payments Ecosystem: Knowledge of real-time payments, ISO 20022 standards, and the impact of CBDCs (Central Bank Digital Currencies). 

• The ability to challenge a CEO or Board of Directors while maintaining trust. They must speak the language of the CFO (numbers), the CTO (tech), and the CRO (risk).
• The leader must be aware of latest technologies used by the Financial Institutions, Data Science and Data Engineering team 
• A leader must drive cultural transformation and "buy-in" across silos, the ability to build partnerships between traditional banks and nimble Fintech/Insurtech startups.
• Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key clients, and drive new business opportunities. 
• Work in a matrix environment, manage and deliver solutions/POVs across multiple accounts/clients and regions 
• Stay abreast of emerging trends in technology driving Digital Transformation & data democratization, leveraging technology to define and deliver value to our clients.
• Monitor and analyze industry trends, regulatory changes, and competitive dynamics, adjusting our strategy and offerings as needed. 
• Lead a diverse team of consultants and subject matter experts, fostering a culture of collaboration, innovation, and excellence. 
• Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions 
• Drive thought leadership initiatives, representing our company at industry events, conferences, and forums 

Qualifications: 

• Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIM) preferred 
• 15-20 Years of Experience in the financial services industry, with a track record of success in strategic leadership roles 
• Robust experience in Retail, Investment Bank/Capital Markets, Asset Management, Wealth management, Insurance & Payments. 
• Exposure in Risk management – credit, market, operational risk 
• Exposure in Compliance management – AML/KYC, Trading Compliance, Risk & Suitability

Desired Skills: 

• Understanding of applications of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Hands on quantitative experience with analytic tools and technologies 
• A self-starter who can work well with minimal guidance 
• Exposure to Pre-Sales is highly desirable 
• Exposure to Financial Services across US, EU and APAC

The Trust & Safety Operations team safeguards Roblox’s community and creators. Within this organization, our IP and Legal Compliance Operations teams are dedicated to protecting Intellectual Property, ensuring strict regulatory compliance, and facilitating a safe, fair environment for rights holders, developers, and users. We scale Operations and elevate our users’ experience through a multi‑year vision, rigorous execution, and data‑driven decision making.

You will be reporting to the Manager Data Operations and act as the data SME for both IP and Compliance Operations, working closely with other domain-specific data analysts on the team. This position is critical to understanding, optimizing, and reporting on the operational performance of our Intellectual Property enforcement and our Legal Compliance workflows.

You Will:

• Own the analysis and reporting for both Intellectual Property Operations and broader Legal Compliance Workflows. Deliver recurring KPI packs for senior leadership across Safety, Legal, and Developer Relations partners.
• Identify opportunities through trend and cohort analysis; build business cases and lead cross‑functional initiatives from concept to impact.
• Collaborate with Data Science, IP Product, Policy, and Operations teams to define and maintain metric definitions, KPI hierarchies, and analytical guardrails that drive operational excellence in both IP protection and compliance obligations.
• Design, build, and maintain advanced operational reports and dashboards, delivering critical insights on IP enforcement and overall compliance health to senior-level management and cross-functional stakeholders across Operations, Legal, Product, and Engineering.
• Select and apply the most appropriate analytical methods to assess both IP operations and Legal Compliance programs, extract relevant data, and derive actionable insights to ensure we meet all of Roblox's legal and regulatory obligations efficiently and accurately.
• Monitor industry trends in digital rights management, regulatory compliance frameworks, and analytical best practices; incorporate them into our operational data strategies and tooling.

You Have:

• 7+ years of experience in a professional setting, with demonstrated experience in quantitative analysis and complex program management.
• Domain Knowledge: Good understanding of intellectual property operations (like copyrights, trademarks, and Digital Rights Management) and legal compliance processes (such as regulatory response SLAs, privacy operations, or law enforcement guidelines) in the tech industry—either through hands-on experience or by working closely on cross-functional projects.
• Technical Proficiency: Advanced proficiency in SQL, including complex queries, common table expressions, and window functions; working knowledge of Git and Python and/or R is highly desirable.
• Cross-Functional Leadership: Proven ability to work effectively with cross-functional teams (specifically Legal, Product, Engineering, and frontline IP/Compliance Operations) to drive strategic initiatives.
• Problem Solving: Strong analytical skills with a track record of using data to inform decision-making, optimize complex workflows, and solve operational bottlenecks.
• Business Acumen: Deep understanding of business operations and the ability to align data strategies with strict legal, regulatory, and IP business objectives.
• Expertise in consulting with stakeholders and managing complex projects from inception to completion.
• Strong multitasking and time management skills to balance the distinct needs of IP operations and Compliance operations.
• Minimum of a Bachelor’s degree in a technical field / analytical discipline (preferred: Computer Science, Data Analytics, Information Systems, Statistics, Mathematics, Business Analytics or equivalent), with a strong preference for an MBA or MS or equivalent experience

The Opportunity:

Are you a data-driven storyteller with a passion for transforming raw information into actionable insights that drive tangible business outcomes? Do you thrive on collaborating directly with business stakeholders to understand their needs and then architecting elegant data solutions? If so, we have an exciting opportunity for a highly skilled and motivated Manager-level Business Analytics to join our growing team in Bangalore. In this role, you will be instrumental in empowering our business users with the data and visualizations they need to make informed decisions, analyze and drive improvements to our Finance operational performance, business decisions, and strategy. You will drive the analytics lifecycle, from initial consultation to the delivery of impactful dashboards and data sets.

What You'll Do:

• Strategic Alignment: Drive cross-functional alignment and prioritization of Finance analytics initiatives to generate actionable insights and tangible business improvements.
• Become a Trusted Advisor: Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions.
• Consultative Analysis: Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs).
• Data Architecture & Design: Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity.
• Enterprise Partnership & Analytics Foundations: Partner with the Enterprise Data & Insights team to align Finance with company-wide data standards and policies while developing the foundational infrastructure and capabilities of the Finance Analytics function.
• Expert Tableau Development: Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends. Establish visualization best practices and storying and enable Finance report builders to adopt them.
• Data Wrangling & Transformation: Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our analytics platforms.
• End-to-End Ownership: Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance.
• Drive Data Literacy: Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes.
• Stay Ahead of the Curve: Continuously explore new data visualization techniques, analytical methodologies, data technologies, and AI capabilities for interactive analytics to enhance our analytics capabilities.
• Collaborate and Communicate: Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals.
• Data Governance & Quality: Champion data accuracy, consistency, and integrity across Finance, driving robust governance and maintaining core foundations such as the reporting inventory, structure, access, and data dictionary.
• Performance Monitoring & Iteration: Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement.
• Documentation & Training: Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools.

What You'll Bring:

• 8+ years of experience in a Business Analytics, Data Analytics, or similar role with increasing responsibility.
• Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions.
• Expert-level proficiency in Tableau, including advanced calculations, parameters, actions, and performance optimization.
• Strong hands-on experience in building and optimizing data sets for Tableau.
• Solid experience with data integration tools, preferably Fivetran, and the ability to design and implement data pipelines.
• Proficiency in Python for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas).
• Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift.
• Advanced SQL skills for data extraction, transformation, and querying.
• AI literate, experience with traditional and generative AI. 
• Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks.
• Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively.
• Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders.
• Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus).

Bonus Points For:

• Experience in SaaS software industry is highly preferred.
• Experience with other data visualization tools (e.g., Power BI, Looker).
• Familiarity with cloud-based data platforms (e.g., BigQuery).
• Familiarity with basic statistical concepts and methodologies is a plus.

This role is hybrid, with the expectation of working from our local office on specified days based on local expectations. We will continuously assess this arrangement, and it may be subject to change based on business needs and evolving circumstances.

#LI-Hybrid

P22262_3137714

The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?” 

Our User Research team is a critical partner in this mission, responsible for driving research that uncovers deep insights and shapes our product and company strategy. As a Staff User Researcher, you will work with a globally distributed team to apply your craft and expertise across a range of products and services. You will tackle complex research questions, delivering insights that ensure we are solving the right problems for our customers.

The Finer Print 

As a Staff UX Researcher in India, you will lead and establish user research efforts locally, embedding UXR practices within our growing India-based cross-functional teams and taking ownership of high-impact research initiatives for a key Okta product area. This is a unique opportunity to promote and cultivate a user-centered culture, guiding local product, design, and engineering partners who are new to direct collaboration with UX research. You will work closely with these local teams daily, while also collaborating effectively with your global UXR colleagues and stakeholders. Your research will directly inform critical decisions, contributing to both the product's long-term vision and near-term development. You will be instrumental in establishing research operations in India, ensuring that foundational and evaluative insights are effectively leveraged to drive exceptional user experiences.

In this role, you have the opportunity to:

• Champion user-centered best practices and build strong, trusted relationships with product, design, and engineering leaders within our growing Bangalore office
• Drive collaborative research initiatives with cross-functional teams and guide them in leveraging insights to inform decisions and foster a culture of curiosity
• Communicate complex insights clearly and persuasively to diverse audiences across all levels and time zones, ensuring seamless alignment within our global team
• Utilize LLMs (e.g., ChatGPT, Claude) to accelerate end-to-end research workflows, from literature reviews and transcript analysis to report drafting.
• Synthesize insights at scale by leveraging AI-augmented repositories and tools across multiple concurrent projects, without sacrificing research rigor.
• Establish and refine UX research processes, operational frameworks, and supporting tools tailored to the needs of the Bangalore office, aligning with our global UX Research standards
• Build and manage key research operations, including leading APAC participant recruitment efforts and collaborating with our global UX Research Operations team to optimize our Dovetail research repository for local stakeholders

• Lead end-to-end research initiatives, expertly applying a flexible range of methodologies (generative and evaluative) to illuminate customer needs and deliver high-impact insights that drive product growth
• Share your expertise and insights with the global UX Research team, and play a pivotal role in building UX Research capacity within the Bangalore office as the team grows
• Access global learning resources and collaborate with experienced researchers worldwide to continuously enhance your skills

Who We Are Looking For

• Demonstrated ability to effectively introduce and integrate UX Research into teams with limited prior exposure, clearly articulating its value and driving buy-in
• Experience thriving in a remote, globally distributed team environment, with a proven ability to manage asynchronous communication, maintain alignment across different time zones, and build strong rapport and influence with remote stakeholders across cultures
• You possess a proven ability to critically evaluate AI-generated outputs for bias, hallucinations, and gaps; you know when to trust, refine, or override AI and can articulate that judgment.
• A proactive and highly self-driven approach, with a proven ability to independently identify research opportunities, define scope, and successfully project manage complex initiatives end-to-end, consistently delivering high-quality insights on time and within scope
• Resourcefulness in navigating ambiguity and establishing new processes and tooling where needed
• Proven experience as an embedded UX Researcher with deep expertise in applying a wide range of methodologies (e.g., usability studies, contextual inquiry, surveys) to identify and elevate user needs, driving valuable product outcomes
• Able to translate business problems into human-centered research questions, applying your technical understanding to inform company goals
• Exceptional proficiency in communicating complex research findings and insights, adeptly tailoring presentations and guiding collaborative sessions with diverse cross-functional partners and senior leadership to drive alignment and informed decisions
• Experience with products made for developers, administrators, or other technical audiences
• Strong decision-making and problem-solving capabilities while working with constraints
• Empathy for users and a passion for understanding technical experiences
• Experience working on security products is a plus
• A proactive and curious mindset with a dedication to continuous professional development, and a proven ability to contribute positively to the team's research culture and skill set

Qualifications:

• 8+ years of experience in a User Research or related role, with a strong digital portfolio demonstrating end-to-end research on shipped B2B or enterprise SaaS products. (A portfolio is required for consideration).
• Practical experience using LLMs to accelerate research workflows, with specific examples of measurable impact on project timelines or scale.
• Expertise in a wide range of qualitative and quantitative research methods.
• A Master’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, or a related field is preferred.

P10891_3414578

• #LI_Hybrid

The Role

Lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.

This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.

At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

What You'll Do

• Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
• Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
• Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
• Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
• Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
• Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
• Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
• Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
• Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
• Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.

Skills & Requirements

Who You Are

• You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
• You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
• You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
• You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
• You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
• You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.

About Securly

Benefits

The Role

The Senior Data Scientist will lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.

This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.

At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

What You'll Do

• Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
• Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
• Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
• Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
• Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
• Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
• Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
• Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
• Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
• Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.

Skills & Requirements

Who You Are

• You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
• You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
• You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
• You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
• You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
• You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.

About Securly

Benefits

Real Chemistry is looking for a Senior Strategist to join our growing team!

21GRAMS, part of Real Chemistry, takes an innovative approach to advertising, and focusing on making healthcare more human.  Not just in our work, but in the way we conduct business, approach client relationships, and treat each other. It’s a place where people subscribe to the adage, “Be good to each other, but hard on the work.” A place where people are not just in it for the paycheck, but to make a dent in the universe. Sound like you?

21GRAMS is seeking a Senior Strategist to gather critical data that ensures strategies are accurate and planned accordingly. The Senior Strategist will write clear and forward-thinking strategies involving encouraging and advising creative teams. They will also research clients to understand them and their objectives while producing inventive ideas with team members. 

This is a hybrid role, based in any of our US offices—including New York City, Boston, Chicago, Carmel, Lambertville, or San Francisco—or remotely within the US, depending on team and business needs.

What you’ll do:

• Lead and oversee competitive audits and analysis 
• Show deep command of brand and the brand’s category 
• Attend market research and provide key insights 
• Create research and insight decks 
• Help Strategy Director/Group Strategy Director with brand planning
• Assist with client workshops, oversee development of materials, and facilitate sections of the workshop and breakout groups 

• Manage/Mentor Strategists and Associate Strategists, helping them develop their skills and complete work at the highest levels of quality 

This position is a perfect fit for you if:

• Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you.
• You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving.
• You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data.
• You are highly organized self-starter, able to work independently and under tight deadlines.

What you should have:

• Bachelor’s Degree in business, marketing, or other related fields
• 2-3 years of experience in strategic management with integrated agencies
• Creative mind and ability to encourage and instigate ideation across departments
• Oral and written communication skills
• A leader that can coach, encourage, and mentor clients, staff, and team members
• Crucial problem-solving abilities
• Strong command for quantitative and qualitative research methodologies and solid understanding of when and how to apply them to a given client challenge

Pay Range: $100,000-$110,000
This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time. 

Location

Delhi, India (Remote)

Job Description

As an Intelligence Analyst at Rhombus, you will create impactful intelligence assessments on topics including foreign military activities, weapons development, global conflicts, and international stability to support India and Allied national security decision making. Analysts will fuse Rhombus’s unique AI-derived data with a spectrum of open-source information to create these products.

Our Intelligence Analysts routinely perform thorough research and analysis across global security issues guided by client intelligence needs. Outputs are primarily delivered through written intelligence assessments that align with Indian Intelligence Community standards, as well as tailored briefings for internal and external audiences.

Candidates must excel in high-pressure collaborative work and demonstrate strong interpersonal skills; Team success relies on close coordination within the intelligence team and with cross-functional partners. We're seeking those that are comfortable giving and receiving feedback to enhance collective output and quality. 

Successful candidates will be solution-oriented self-starters who are tech-savvy, able to identify problems and opportunities, and capable of proposing solutions in a dynamic, fast-paced environment. The ability to multitask and prioritize is essential given the pace of global events and evolving client needs. 

We are seeking a candidate with deep subject matter expertise in defense, military capabilities, weapons systems, and emerging security developments. The ideal candidate will be able to apply their regional and functional expertise to produce a high volume of high-quality analytic assessments under tight deadlines and with minimal review. This is a 'roll up your sleeves' role with ample opportunity for growth. 

A writing sample is required as part of your application. Samples need to be your original work, ideally produced within the last three years, 1–3 pages in length, and assess a geopolitical or international security-related topic. Any deviation from this will cause your application to be reprioritized. 

Responsibilities

• Identify impactful intelligence topics based on a detailed understanding of customer intelligence needs and missions.
• Produce high-quality intelligence assessments that answer key customer intelligence questions in line with the Indian Intelligence Community analytic and writing standards.
• Utilize Rhombus’s AI-informed intelligence capabilities and expert research skills to gather information that forms the foundation of intelligence products.
• Identify information gaps and collaborate with the Model and Data Development team to acquire sources that address those gaps.
• Apply structured analytic techniques to ensure products meet the highest standards.
• Brief finished intelligence products to internal and external audiences.
• Serve as a subject matter expert on defense, military, weapons, and security developments relevant to client needs.
• Support enhancement of Rhombus’s intelligence capabilities by providing feedback on existing features and supporting the development of new applications and tools.

Qualifications

• Minimum of 5 years of analytic experience with subject matter expertise in military capabilities, weapons systems, and broader defense/security issues.
• Analytic experience and training within the Indian Intelligence Community or military is strongly desired.
• At minimum, a BA/BS in International Affairs, Political Science, Economics, or a related social science with specific focus of study/research on security matters. Advanced degree highly preferred.We are open to PhDs!
• Demonstrated experience producing written intelligence products tailored to specific client intelligence requirements.
• Experience delivering briefings on complex national security and international affairs topics in high stakes, high pressure environments.
• Familiarity with qualitative and quantitative analytic methodologies. 
• Natural Intellectual curiosity and emotional intelligence, coupled with grit and determination to always keep a deliverable moving. 
• Eligibility for a security clearance issued by the Ministry of Defence (MoD) or equivalent national authority. If you currently hold a clearance, please indicate the level and sponsoring organization.
• Familiarity with data analysis, statistics, data science, or coding (Python, R, STATA, etc.) is welcomed.

Location - Bangalore

Shift Timing - 5:30 P.M to 2:30 A.M (IST)

Position Summary:

​​As the Business Operations Manager, you will play a crucial role in optimizing and scaling our renewal processes and operations to support our ambitious growth targets. You will lead a team of renewal operation professionals to ensure seamless coordination between Finance, Sales Ops, Product Ops, IT and other cross-functional teams. This is a strategic role but should possess good hands-on experience and requires a deep understanding of SaaS business model and the renewal process management. This is a relatively new role and we are looking for someone who can thrive with a high level of ambiguity to operate autonomously while maintaining cross functional collaboration and stakeholder management and expectations.

What You Will Do

Strategy and Planning: 

• Develop and implement a comprehensive operational rigor, aligning it with overall business objectives and revenue targets.
• Partner with Sales Ops and Finance in the long-range planning ,QRF submissions to the leadership and Renewal Capacity Planning.
• Conduct data-driven analysis to identify sales performance trends, opportunities, challenges and use the insights to optimize processes and propose actionable recommendations.
• Provide valuable insights and contribute to sales planning, territory planning, and coverage model strategies.
• Stay updated on industry trends and competitive landscape and customer feedback to refine renewal strategies.

Renewal Sales Process Optimization: 

• Streamline and standardize sales processes to improve efficiency, shorten sales cycles and increase overall sales effectiveness. 
• Develop and implement sales playbooks and methodologies to ensure consistency across the sales team.
• Provide operational guidance and support in Renewals forecasting and business reviews.
• Orchestrate the Forecast Calls with the Renewal Managers and the Team.
• Work with Renewal Managers and Sr. Customer Success Managers to get the CQ+1 Forecast Outlook by incorporating upside, downside and Risk to the RBOB.

Analytics and Reporting: 

• Maintain Renewal KPIs and dashboards to monitor sales performance and track progress towards targets. 
• Leverage data and insights to support process improvements, enable optimal business outcomes, manage project scope and ongoing operations.
• Prepare regular reports and presentations highlighting renewal performance to assess sales performance and identify areas for improvement.

Customer Success & Relationship Management:

• Work with the Retention team to proactively identify the barriers to renewal and call out the risk early for the upcoming quarters. 
• Collaborate closely with the Customer Success team to develop and execute proactive engagement plans that drive value for customers and increase renewal rates.
• Manage the Retention KPIs including the quantitative and qualitative metrics - Value and Outcomes from the Risk Mitigation, Dollars Retained and document the customer objections.

Cross-Functional Collaboration: 

• Drive collaboration and Foster strong relationships with cross functional teams to ensure seamless coordination and alignment of strategies. 
• Partner with finance, customer success and sales operations functions in managing the day-to-day Renewal operations.

What We're Looking For

• 10+ years’ experience in Revenue/Renewal/Customer Success/ Sales Operations, Sales Strategy or similar
• Proven track record of success in operations roles within high-growth SaaS or technology companies.
• Intermediate to Advanced experience with Salesforce (SFDC) and CPQ, Advanced Excel.
• Strong analytical skills with the ability to interpret data and make decisions based on insights.
• Proven ability to lead and motivate a team, work in a fast-paced dynamic environment and handle multiple priorities simultaneously.
• Ability to drive cross-functional collaboration, establish credibility, be decisive and articulate issues clearly and concisely.
• An inquisitive nature and exceptional attention to detail. 

#LI-DR2

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Company Descriptor

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Processing Manager role will report into The Data Processing Sr Manager position. The Data Processing Manager will be a key member of the India-based Data Processing Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams. This will include:

What you'll be doing

• Running and validating interim and final tabulations (uncoded and coded) for quantitative research studies using relevant software (e.g., Q, Quantum, SPSS, Excel-based platforms, or proprietary tools).
• Ensuring all tabulations meet internal and client-specific formatting, logic, and output requirements.
• Checking tabulated data for accuracy, completeness, and consistency before delivery.
• Supporting QA processes and documentation to maintaining high data standards across projects.
• Lead in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks.
• Working with coded and uncoded datasets, ensuring proper integration into final tabulation outputs.
• Liaising with scripting/programming team to ensure accurate data structure for tabulation.
• Working closely with the research and project management teams to understand project requirements, timelines, and deliverables.
• Providing input and feedback to internal stakeholders to optimise processes and outputs.
• Managing assigned tasks of Execcutive within deadlines and flag any delays or data issues proactively to the manager and wider team.
• Maintaining clear documentation of tabulation processes and version control.
• Supporting in updating project logs and workflow tracking systems.
• Continuously improving knowledge of data processing tools, tabulation best practices, and healthcare market research processes.
• solving

What you'll need

• More than 8+ years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors)
• Expert proficiency in data tabulation software (preferably Q, but Quantum or similar will be considered as well)
• Exposure to or understanding of survey scripting tools and survey data structures is a plus
• Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management.
• Understanding of quantitative research methodologies, questionnaire structures, and healthcare market research best practices.
• Demonstrable experience of working with senior and Jr team members
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• Excellent analytical and numerical skills
• Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment
• High attention to detail with a strong focus on data accuracy and consistency.
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

About Liberis

Liberis was founded and is backed by Blenheim Chalcot.

Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning. 

The Team

We are the Risk team responsible for managing the credit risk of Liberis’ portfolios, which include designing effective new strategies, managing the credit quality of our products across geographies, and providing specialist credit risk advice to the business.

The Risk team is based in London and covers Risk analytics, Decision Science, Underwriting and Collections. Our mission is to grow Liberis profitably to become the leading embedded business finance provider and we are now looking for a Analyst/Senior Credit Risk Analyst to join us on this journey.

The Role

You are someone that is excited by the prospect of a challenge, appreciate autonomy and the space to generate your own ideas and are passionate about finance that serves to support small businesses, not just turn a profit.

Reporting to the Senior Manager in the Risk Management team you will develop best in class credit risk strategies that reward our members and deliver value to Liberis. You will have the opportunity to work on a broad range of projects and workstreams that provide credit risk insights while ensuring we stay within the organisation’s risk appetite.

You should have experience in a similar analytical role where you have used statistical and analytical tools to drive innovative strategy changes. You should be able to derive insights from data and be able to present results in a concise way to relevant stakeholders.

What you’ll be doing

1. Risk Data Architecture & Structuring

• Design and maintain scalable credit risk data marts and portfolio datasets.
• Define and document data definitions, schemas, and maintain metric logic for key risk indicators (e.g. delinquency, roll rates, vintage curves, loss metrics).
• Partner with Data Engineering to optimise warehouse structures (Snowflake/BigQuery/Redshift or equivalent) and to improve the accuracy, consistency, and automation of risk reporting processes.
• Ensure consistency and governance across risk, finance, and commercial datasets.
• Validate and reconcile underlying data sources, ensuring data quality standards are upheld.
• Use data to ensure the execution of our strategy is in line with expectations with the right governance, control, and monitoring.

2. Building scalable Reporting & Automation layer

• Build reusable reporting layers that scale as origination volumes and product complexity increase.
• Create self-serve reporting environments for risk stakeholders while maintaining control frameworks.
• Prepare reporting and datasets for new initiatives on an ad-hoc basis and deep-dive insights required by Risk, Finance, and executive and senior leadership.
• Create ability to do data mining by the rest of the risk team.
• Bring visibility to more datasets that will support risk team’s day-to-day analytics and operational management towards SLAs

3. Supporting Portfolio Monitoring & Analytical Frameworks (Build scalable monitoring frameworks covering as below)

• Portfolio performance tracking
• Early warning indicators
• Concentration and exposure monitoring
• Vintage and cohort analysis
• Stress and sensitivity views
• Ensure reporting can flex across products, segments, and funding structures.

4. Ensuring Data Quality, Controls & Governance

• Implement validation checks and automated reconciliations within reporting pipelines.
• Own data integrity across risk reporting outputs.
• Develop monitoring for data drift and structural anomalies.
• Support internal audit and regulatory reviews with well-documented reporting logic and traceability.
• Closely collaborate with colleagues across Liberis, especially in the Engineering, Analytics, Product, Growth, Partnerships, and UK/US/European teams.

What we think you’ll need

• Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Engineering or related quantitative discipline.
• 2-4 years experience in data management, building data marts or database maintenance.
• Strong affinity to build deep understanding of data flows and build re-usable datasets for the end-analytical users. Experience in a similar data role is a must.
• Demonstrated ability to drive high-quality analysis, with a robust understanding of how this will be used practically.
• Advance level proficiency and strong experience with databases management and analytical data product creation; Minimum 1 year of experience with Google Cloud Platform tools such as Looker, DBT, and BQ would be a must-have (minimum 6-months exp)
• Intermediate level proficiency in Excel and at least one BI/data visualisation tool (e.g.,Power BI, Tableau, Looker).
• Advanced SQL proficiency - ability to write complex queries independently across large datasets
• Ability to convey complex findings in a logical and easy-to-understand style.
• Turns rigorous analysis into clear, reasoned recommendations.
• Excellent analytical and problem-solving skills with strong attention to detail (must-have)
• Clear communicator with ability to explain complex data insights to non-technical stakeholders.
• Strong judgement, with the ability to make trade-offs between what is desired and what is feasible.
• Comfortable working in a fast-moving, ambiguous, and changing company.
• Experience working cross-functionally with engineering, risk, operations, and finance teams.
• A collaborative mindset and willingness to work with a wide range of teams.
  Experience in lending analytics or fintech credit products.
• Understanding of credit risk metrics and frameworks (PD/LGD/EAD) and lending

Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.

Job Description

• About Inizio Ignite:

  Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

  Company Descriptor

  Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

   

  Role Overview

  The Research Manager will play a pivotal role in the new hub, reporting to an Associate Director.

  What you'll be doing

  • Your role will involve supporting the day-to-day delivery of multiple quantitative research projects, ensuring timelines are met and outputs are delivered to a high standard.
  • You will write and refine questionnaires, with input from senior team members, ensuring alignment with research objectives.
  • You will be responsible for conducting analysis, including reviewing data tables, coding open-end responses and supporting development of table specifications, ensuring outputs are accurate and robust.
  • You will contribute to the preparation of client deliverables, including drafting report templates in PowerPoint and supporting the development of final reports.
  • You will work closely with project management teams to support fieldwork execution and troubleshoot any issues that arise.
  • You will provide regular updates to your manager on project progress and will begin to contribute to internal discussions on findings and implications.
  • You will also support on-the-job coaching of more junior team members where appropriate.

   What you'll need

  • 5-6+ years of experience in market research with healthcare experience (or experience in other research sectors)
  • Appreciation of marketing / client side issues
  • Self-motivated and able to work independently
  • Good communication skills - both verbal and written
  • Ability to multi task under pressure and to tight deadlines
  • High level of proficiency with Excel or SPSS

   

  Ideal candidate should be

  • You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
  • You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
  • You are a collaborative team player who works well with colleagues
  • You communicate ideas and issues in an effective, straightforward fashion
  • You are highly motivated and want to seize opportunities to develop new skills and progress your career

   

  Artificial Intelligence

  Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Research Executive will play an important role in the new hub, reporting into an Associate Director based in Gurgaon and with additional training and support from the UK office.

What you'll be doing

• Act as the main contact / bridge between Project Manager and RP Field, ensuring the fieldwork process runs smoothly and in line with expectations:
• Updating all parties on any change (sample, timings, specifications etc)
• Working with RP Field to answer fieldwork queries regarding sample, timings or any other project-related issues.
• Management of subcontractors and freelance consultants (freelance proof readers, link checkers, coders)
• Ensure all project team members, RP Field, suppliers and freelancers are trained and certified in the most up to date compliance requirements
• Provide feedback to your Manager as well as regular updates to the client
• Responsible for checking the raw data, writing the tab spec, coding the open ended verbatim and checking the interim and final data tables
• Oversee the initial charting of quant data – checking for errors/understanding
• Help prepare sections of the final client presentation, with significant input from the manager.
• Attend debrief meetings for final audit of compliance records

What you'll need

• 1-5 years of experience in market research in any sector (ideally healthcare but not essential)
• Commitment to client service and “getting the job done”
• Strong verbal and written communication
• Attention to detail
• Ability to multi-task

Ideal candidate should be

• Proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• demonstrate a high level of accuracy and attention to detail, as well as strengths in organization and prioritization
• Collaborative team player who works well with colleagues
• Communicate ideas and issues in an effective, straightforward fashion
• Highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

G-P helps organizations build global teams in minutes, not months. As part of this mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™ .

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.

About The Position

We’re building GIA - the AI for General Counsel, in-house legal teams, and HR teams — helping them operate faster and smarter before problems escalate. GIA is structured like a Startup that demands extreme ownership and relentless speed and a bias for shipping over talking. If you need permission to act, this isn't for you.

This is a co-founder-level PM role reporting into the Head of Product and Engineering: you own the product end-to-end, talk to customers daily, design solutions, write specs, and ship. No swim lanes, no waiting for permission.

What You Will Do:

• Extreme Product Ownership — discovery, design, specs, delivery, outcomes
• Build the product-led sales engine — onboarding, activation, upgrade triggers, PQLs, viral loops
• Drive integrations — CLMs, HRIS, doc management, email; define data models and API contracts with particular focus on permission models and ethical walls.
• Run product research — competitive analysis, user interviews, workflow mapping, market sizing; synthesize into clear product direction
• Talk to GCs, legal ops, and HR leaders constantly — build conviction from real workflows, not feature requests
• Ship fast — cut scope, measure what matters, kill what doesn’t
• Work across time zones — distributed team across US, India, Ireland, Poland

What we're looking for:

Minimum Requirements:    

• Engineer background — you can read code and reason about systems
• Strong product sense and design ability — problem to wireframe to shipped product
• Product research chops — you run discovery, synthesize qualitative and quantitative inputs, and turn research into roadmap decisions
• Agentic AI fluency — you use Cursor agents, Claude, and similar tools daily
• Product-led sales experience — you’ve built self-serve funnels, activation flows, and usage-based sales signals
• Extreme ownership and speed — you default to action and own outcomes
• Relentless curiosity — contract law, Kubernetes, behavioral psychology, whatever it takes
• Design taste and chops — You can wireframe and develop mid fidelity prototypes where required without a designer
• Core Data Analysis Skills — you can work with product usage data, compliance datasets, and qualitative research to generate insights. 
• Process experience - you can translate real-world HR and legal processes into the product by encoding workflows and business logic

Preferred Qualifications:

• Past founder or co-founder
• Legal or HR domain experience, particularly GC or legal ops
• Integration experience — PRDs covering auth, data mapping, error handling, sync strategies

How we evaluate

• Critique our product live — directness and taste over diplomacy
• Solve a real problem we’re facing — on the spot
• Whiteboard an integration architecture
• Show us something you’ve built that you’re proud of

Real Chemistry is looking for a Product Design Lead to join our growing team!  

21GRAMS, part of Real Chemistry, takes an innovative approach to advertising, and focusing on making healthcare more human.  Not just in our work, but in the way we conduct business, approach client relationships, and treat each other. It’s a place where people subscribe to the adage, “Be good to each other, but hard on the work.” A place where people are not just in it for the paycheck, but to make a dent in the universe. Sound like you? 

This is a senior level product design position that will provide support in execution of creative and digital experiences for various clients across the agency. Organization, positivity and flexibility are essential as you work both autonomously and collaboratively to discover creative solutions based on quantitative and qualitative research. We want Product Design Leads who love nothing more than unraveling tough problems and inspiring people to think strategically about experiences in fresh new ways. 

This is a hybrid role, based in any of our US offices—including New York City, Boston, Chicago, Carmel, Lambertville, or San Francisco—or remotely within the US, depending on team and business needs.

What you’ll do: 

·       Set and lead the creation of project experience deliverables and general project vision/strategy. 

·       Create and manage project deliverables, including but not limited to experience audits, user research documentation, wireframes, clickable prototypes, functional annotations, experience strategic thinking, customer journeys, and sketches  

·       Collaborate with project managers, account leads, creative leads and other executives or key stakeholders to set project goals 

·       Effectively provide support and drive alignment in applying consumer needs, brand guidelines, and strategic insights 

·       Maintain design standards and guidelines for individual projects, including ensuring consistency and user-friendly solutions  

·       Contribute and critique design work with the creative teams daily, offering and taking constructive feedback 

·       Utilize and advocate for human-centered design process and thinking; driving user-centered strategies in design and interaction suggestion 

·       Research and stay current in digital design trends, tools, and technologies within all industries, but especially the healthcare industry.  

·       Foster a culture of innovation and continuous improvement including continued learning opportunities for team  

·       Lead presentations and communication to clients and internal teams 

·       Mentor and manage mid-level and junior designers on the experience team 

This position is a perfect fit for you if: 

·   ​Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you. 

·   You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving. 

·   You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data. 

·   You are highly organized self-starter, able to work independently and under tight deadlines. 

What you should have:  

·       5-7 years experience in creating and designing complex digital products/experiences  

·       Interest in healthcare and medicine 

·       Excellent design aesthetic 

·       Deep knowledge of ADA guidelines 

·       Ability to work well in a team setting/environment 

·       Self-directed and comfortable working with ambiguity and uncertainty 

·       Ability to think proactively, multitask and prioritize in a fast-paced environment  

·       Strong verbal communication skills; strong writing and composition abilities 

·       Ability to thrive in a fast-paced environment with a small cross-functional team 

·       Self-motivation and the ability to manage multiple projects simultaneously 

·       Excited about changing the landscape and finding creative solutions  

·       An eye for pixel perfect design and careful attention to detail.  

·       Construct clean and organized creative deliverables that adhere to style guidelines   

Pay Range: $120,000 - $140,000
This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time.

Role Summary

We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.

Key Responsibilities

1  Model Design & Training

• Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
• Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
• Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
• Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
• Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.

2  Model Evaluation & Quality

• Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
• Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
• Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
• Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.

3  MLOps & Deployment

• Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
• Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
• Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
• Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.

4  Research & Innovation

• Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
• Contribute to internal knowledge sharing, technical documentation, and model cards.
• Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
• Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.

5  Collaboration & Stakeholder Management

• Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
• Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
• Participate in architecture reviews, sprint planning, and cross-functional design discussions.

Required Qualifications

1  Education

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
• Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.

2  Experience

• 4 – 6 years of professional experience in machine learning or NLP engineering.
• Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
• Demonstrable experience taking a model from dataset preparation through to production deployment.

3  Technical Skills — Core

• Programming: Python (proficient); familiarity with C++/CUDA a plus.
• Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
• NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
• Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
• Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
• Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
• Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
• Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.

4  Technical Skills — Nice to Have

• Experience with multimodal models or vision-language models (VLMs).
• Knowledge of model safety, alignment techniques, and responsible AI frameworks.
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
• Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.

Behavioural Competencies

• Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
• Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
• Ownership: Takes full accountability for model quality, timelines, and production reliability.
• Collaboration: Works effectively in cross-functional teams with diverse skill sets.
• Communication: Distils complex technical concepts for diverse audiences.
• Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.

Who are we?

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the  fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid? 

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to  tackle intrinsically complex business problems and convert them into straight-forward data solutions. 
• Despite being continuously challenged,  you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo’
• Vibrant inclusive culture of mutual respect and fun through both work and play

Engagement Manager – Life Sciences Consulting
(Management Consulting Team, India)

Roles and Responsibilities:

• Own & drive execution of the business-analytics roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with data science & engineering SMEs and teams
• Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data science and AI
• Define business problems concisely, consolidate the findings and hypothesize the proposed solution. Measure and articulate how solutions and results improve clients’ objectives
• Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
• Perform a role that involves a combination of hands-on contribution, customer engagement and team management.
• Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Mandated Skills:

• Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIMs) preferred.
• 8-10 years of professional work experience in prominent CPG or Lifesciences analytics domains like Consumer Behavior, Demand Planning, Pricing Management, Supply Analytics, Customer Service, Revenue Management, etc.
• Proven exceptional problem-solving analytical skills with an ability to blend creativity and logical thought to innovatively think through a problem and develop solutions
• Ability to develop and articulate strategic recommendations based on rigorous data analysis
• Should have developed new consulting business capabilities within target Industry verticals
• Experience in strategy and business/technology consulting roles conversant with process improvement, cost optimization, customer analytics and experience management, architecture assessments etc.
• Demonstrated sustained client relations management experience at a C-suite/ leadership or have operated at a senior management level in the industry role

Desired Skills:

• Understanding of applications of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Any hands on quantitative experience with analytical tools
• Providing required inputs to sales, and pre-sales activities
• A self-starter who can work well with minimal guidance

Who are we?

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the  fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid? 

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to  tackle intrinsically complex business problems and convert them into straight-forward data solutions. 
• Despite being continuously challenged,  you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo’
• Vibrant inclusive culture of mutual respect and fun through both work and play

Engagement Manager, CPG and Manufacturing – Business Consulting & Solutions Group (BC&S, India) 

Roles and Responsibilities:

• Own and drive execution of the business–analytics roadmap for key CPG / Consumer clients by demonstrating strong techno-functional consulting and stakeholder management, in close collaboration with data science and engineering teams.
  
  
• Lead client workshops where broad vision and ambiguous business problems are translated into concrete data, analytics, and AI use cases.
  
  
• Define business problems concisely, synthesize findings, hypothesize solution options, and measure and articulate how solutions improve client objectives (revenue, cost, working capital, service, risk).
  
  
• Independently liaise with senior client stakeholders (including CxO / functional leaders), convincingly present solution approaches, and constructively question or challenge the client where required.
  
  
• Lead solutioning and presales for your accounts shaping problem statements, approaches, SoWs, proposals, and demo storylines.
  
  
• Perform a role that combines hands-on contribution, client engagement, and team management across multiple parallel initiatives.
  
  
• Manage cross-functional teams (DE, DS, BI) for high-quality delivery: planning sprints, tracking progress, and proactively managing risks and dependencies.
  
  
• Contribute to organization-building through training, mentoring, and developing reusable consulting and analytic frameworks that can be scaled across clients.

Mandated Profile:

• Bachelor’s Degree (BE / BTech – preferably in Engineering / CS / related quantitative disciplines) from Tier I / II universities (e.g., IITs / NITs); MBA from top-tier B-schools (IIMs or equivalent) preferred.
• 8+ years of business / management consulting experience, with significant exposure to prominent CPG and/or Lifesciences domains such as Consumer Behaviour, Demand Planning, Pricing & Revenue Management, Supply / Logistics Analytics, Customer Service, or Commercial Excellence.
• Proven exceptional problem-solving and analytical skills, with the ability to blend creativity and structured logic to think through complex problems and develop practical solutions.
• Ability to develop and articulate strategic recommendations based on rigorous data analysis and clear linkage to business value.
• Demonstrated experience in strategy and business/technology consulting roles, conversant with:
  • Process improvement and operating model design
  • Cost optimization and productivity programs
  • Customer analytics and experience management
  • Architecture / capability assessments and roadmap definition
• Demonstrated sustained client relationship management at C-suite / leadership level or having operated at a senior management level in an industry role.
• Proven experience in developing new consulting capabilities or offerings within target industry verticals (e.g., CPG, Lifesciences), including IP, frameworks, and repeatable approaches.
• Prior experience in a consulting / analytics firm, Big-4, or digital practice is strongly preferred

Desired Profile:

• Applicants with exposure in CPG industry either directly working within business, or consulting will be preferred
• Understanding of applications of statistical and machine learning algorithms
• Any hands on experience with analytical tools

Applicants having active B1/B2 (US Visa) will be a plus.