As an AI Workflow Specialist on the Trust & Safety Operations team, you will be the bridge between product, operations, and other relevant teams. You will be required to create workflows, using AI to design, prototype, and scale high‑impact automations. You will translate operational pain points into well‑designed AI workflows, partner closely with product and engineering, and build the evaluation frameworks that ensure these automations are safe, reliable, and measurable.

You Will:

• Partner with the Subject matter experts across the Support Ops and Shared service teams to understand the current gap and brainstorm on the desired solution. 
• Map and document existing workflows to identify high‑leverage automation opportunities and clearly define “current vs. future state.”
• Design AI‑augmented workflows that combine LLM agents, existing rules engines, and human review to improve speed, quality, and consistency 
• Prototype and iterate AI solutions using internal and external (accepted) tooling (e.g., Claude and other LLMs, internal agentic/AI workflow platforms, and Builder AI code intelligence) to turn workflow designs into working agents or automations.
• Define success metrics and evaluation plans (e.g., automation rate, handle time reduction, error/rollback rate, reviewer satisfaction) and build or integrate with eval pipelines to measure agent performance over time.
• Partner with product, engineering, and operations to prioritize use cases, scope requirements, and align AI workflows with product roadmaps and control/compliance expectations.
• Operationalize launches: contribute to playbooks, runbooks, and training so that operations teams can use AI agents confidently and understand when and how to intervene or escalate.
• Continuously improve workflows by monitoring performance, surfacing insights, and iterating on prompts, policies, routing, and UX to keep systems robust as volumes, abuse patterns, and regulations evolve.
• Champion safe and secure AI usage, partnering with security and compliance stakeholders to ensure AI workflows respect data handling, access controls, and regulatory constraints, especially as AI workloads increase.

You Have:

• 5+ years of experience in technical operations, data science/analytics, or product/engineering roles, with at least 2+ years working directly with workflow automation, rules engines, or tooling for operations teams.
• Demonstrated experience designing, implementing, or maintaining complex business workflows 
• Strong technical fluency: comfortable reading and writing simple scripts or code (Python or similar), working with APIs, and collaborating closely with engineers to ship workflow changes and integrations.
• Hands‑on experience with LLM‑based tools (e.g., Claude) or other AI platforms, including prompt design, evaluation, and iteration to improve quality and reliability.
• Strong analytical skills, with experience defining metrics, building dashboards or analyses, and using data to make prioritization and design decisions.
• Excellent cross‑functional communication skills; able to translate between operations, product, engineering, and finance, and to write clear specs, runbooks, and status updates.

Good To Have: 

• Experience in Trust & Safety, compliance, or risk‑sensitive workflows (e.g., safety queues, fraud, government or law enforcement requests, regulatory reporting).
• Prior work evaluating AI agents or automation quality (e.g., building eval suites, gold‑label sets, or reviewer workflows to monitor agent decisions).

Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.

We’re looking for a talented Privacy Risk & Assurance Analyst who expects more from their career. It’s a chance to work with our clients to implement our data platforms and software products. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.

In this role, you support the data risk model by assuring, maintaining, and improving the quality of privacy and data‑risk information across our securiti* tooling and processes. You perform second‑line assurance, manage issues and risks through their lifecycle, and resolve privacy‑relevant DSPM issues to strengthen controls, reduce exposure, and improve our compliance posture. Your focus is assurance, risk management, data quality, and precision in applying privacy requirements.

Qualifications:

• 2+ years of experience in privacy, data protection, risk, compliance, information security, or data governance.
• Practical exposure to structured reviews or checks of operational inputs, for example: Reviewing request forms, assessments, or registers for completeness and accuracy.
• Validating evidence against stated requirements or controls.
• Experience working with systems or tools that hold risk, privacy, or compliance data, with an understanding that:
• Ability to follow defined assurance steps or test scripts, document findings clearly, and escalate issues where evidence is missing or weak.
• Some exposure to issue or action tracking, such as logging findings, updating status, or following up with owners under guidance.
• Strong attention to detail and a demonstrable habit of checking, questioning, and correcting inaccuracies.
• Clear written communication skills, suitable for maintaining logs, notes, and audit‑ready records.
• Willingness and ability to learn complex tooling and processes, and to apply feedback consistently

 Key Responsibilities:

• Conduct assurance reviews of privacy and security requests (CRAs, VRAs, controller requests), validating routing, inputs, controls, and risk mitigation.
• Identify control gaps and failing controls, support remediation, and maintain assurance evidence and documentation.
• Support end‑to‑end request flows, data hygiene, and accurate ROPA and backend records within the Securiti platform, including legacy remediation.
• Track and manage issues arising from assurance, RACM testing, incidents, DSPM findings, and horizon scanning through to closure.
• Identify recurring risk themes and contribute to playbooks, control updates, and process improvements.
• Review DSPM outputs to validate sensitive data locations, classifications, and data flows, ensuring alignment with ROPA and Securiti records.
• Support remediation of privacy‑relevant data exposure risks in collaboration with product, data, and information security teams.

Job Title: Analyst, Compliance 

Business Title: Compliance 

Location: Gurugram 

GLG is seeking candidate for an Analyst role based in Gurugram, India. The individual will be part of GLGs 70-person global compliance department and would be required to provide timely and thoughtful support for global client service professionals. In this role you will develop strong actionable business skills – including time management, critical thinking, prioritization, communication, negotiation, problem solving, dispute management and project management.

In addition to developing essential problem solving, time management, risk assessment and interpersonal skills you will contribute to broader compliance initiatives by analysing complex data, regulations, and situations to identify potential risks and develop effective risk mitigation strategies while developing effective communication skills.

GLG attracts employees from diverse academic and professional backgrounds. We look for individuals who are passionate about our mission to transform how professionals learn and who embody GLG’s values: learning and curiosity, responsibility, courage, judgment, fresh perspective, service, and integrity.

As part of this role, you will be responsible for work including (but not limited to) the tasks below:

• Learning our compliance policies and procedures to protect the integrity of client engagements.
• Conduct internet-based search.
• Conducting reviews and evaluate the completeness, accuracy, and appropriateness of an individual or an entities profile.
• Identifying and applying a strong distinction between correct/incorrect business practices and escalate compliance breaches.
• Understanding and enforcing key requirements of firm and regulators’ Legal & Compliance rules and policies.
• Managing tasks and activities in a timely manner with complete ownership of responsibilities.
• Engaging with client service professionals daily to understand their needs and provide support to meet an objective of providing excellent services to Clients
• Partnering with different business units and work through complex situation on a day to day basis.
• Individual will reference existing policies; however, due to frequency of unique situations will need to research issues and, through situation-specific inquiries, propose solutions to issues.

An ideal candidate will have the following:

• Graduate/Postgraduate with 2 years of minimum relevant industry experience i.e Compliance, Due Diligence, Risk Management.
• Mandatory - Fluency in English (verbal and written).
• Desirable but not required - Fluency (verbal & written) in Japanese and/or Korean languages skills will be given preference.
• Possess excellent Internet-based research skills. Familiarity with using Internet-based investigative tools would be an added advantage.
• Ability to multi-task and prioritize effectively, while ensuring a high level of accuracy and attention to detail.
• Strong interpersonal and communication (both verbal and written) skills since the role requires collaborating with cross functional teams
• Successful track record of working in a team environment.
• Adaptability to work in a dynamic environment often accompanied by stringent deadlines.
• Strong analytical bent of mind and structured problem-solving approach.
• Able to work and deliver under minimal supervision/independently.

About the opportunity

Senior Account Receivable & Collections Analyst who plays a pivotal, strategic lead role in the financial operations of the company by managing and optimizing the accounts receivable process with a high-energy, "front-desk" approach. This role manages a continuous flow of customer queries, DIY billing emails, and complex collection challenges on a global portfolio while acting as a functional lead on AR systems (such as NetSuite, SAP, or Salesforce) to drive process enhancements and data integrity. To provide sharp, timely internal reports and analysis on debtor balances, cash collections, and bad debts while maintaining professional and energetic contact with customers.

A day in the life

• Arrive with a live view of global portfolio aging to identify exactly where pressure points are before the first call of the day.
• Contact customers (agencies, Enterprise, and brand clients) by telephone and email to move collections forward on high-risk accounts.
• Maintain positive relationships with our customers by providing excellent, responsive service.
• Maintain meticulous notes on follow-up and contact within ERP and CRM systems so nothing falls through overnight.
• Handle a non-stop flow of cases, DIY billing queries, and financial requests via a shared inbox and Salesforce with high operational resilience.
• Send monthly statements to customers and resolve discrepancies immediately upon receipt.
• Reduce DSO (Days Sales Outstanding), improve CEI (Collection Effectiveness Index), and minimize bad debt expense of the assigned global portfolio.
• Identify systemic billing or operational issues impacting cash flow and proactively lead cross-functional resolution efforts.
• Act as a key contributor in cash forecasting by providing accurate short- and long-term collection projections based on portfolio trends.
• Communicate real-time account status, risks, and next actions proactively to Sales and Account Managers.
• Oversee daily cash applications in ERP systems and lead investigations into complex unallocated/unapplied cash receipts.
• Issue reminder and legal notices to customers based on the Credit Control policy.
• Collaborate with Internal Sales, AMs, Finance, Legal, and billing teams with an "on-your-toes" urgency to resolve discrepancies and unblock revenue.
• Monitor and report on potential bad debts and portfolio health with a sharp, numerical eye.
• Strengthen internal controls and compliance around AR processes, ensuring audit readiness and policy adherence.
• Determine when accounts should be sent to outside collection agencies when all internal strategic efforts have been exhausted.
• Generate sophisticated monthly and ad-hoc reporting metrics on the performance of the portfolio.
• Lead the setting of credit limits for new and existing customers.
• Manage credit card workflows end-to-end, including charges, refunds, and formally challenging invalid chargebacks with supporting evidence.
• Actively leverage Enterprise AI platforms (Gemini, ChatGPT, Claude, etc.) to drive process optimization, build automations, and streamline collection workflows.

What you’ll bring

• Minimum 10–12 years’ experience in an Accounts Receivable / Collections role.
• Ability to adjust priorities instantly under pressure to meet non-stop deadlines.
• High stamina and flexibility within a constantly changing, high-volume environment.
• Elite interpersonal and diplomatic negotiation skills.
• Excellent verbal and written communication skills suitable for senior stakeholders.
• Ability to cooperate and lead collaboration effectively with team members.
• Proven track record of reducing DSO and improving cash collections.
• Sharp, proactive attitude – the ability to take immediate initiative to get things done.
• Expert Microsoft Excel (Power Query/Pivot) and IT skills with an exceptional eye for numbers.
• Highly motivated with a continuous eye for process improvement and automation.
• Deep expertise in managing global portfolios across multiple currencies and international markets.
• Deep expertise in Tier-1 ERP and CRM ecosystems (e.g., SAP, NetSuite, Salesforce) with the ability to drive system-related projects.
• AI-savvy and curious about technology; comfort using Enterprise AI tools to automate repetitive tasks.
• Experience of working with advertising/marketing agencies is highly preferred

WHO YOU ARE:

We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs. 

You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data. 

WHAT YOU’LL DO:

• Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
• Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
• Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
• Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
• Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
• Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
• Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
• Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.

WHAT YOU’LL NEED:

• 6+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization. 
• Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets. 
• Experience designing A/B tests and experimentation frameworks to drive operational improvements. 
• Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling. 
• Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics. 
• Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership. 
• Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations. 
• Strong problem-solving skills and a proactive mindset to identify business opportunities using data 

Bonus Points If You Have:

• Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation). 
• Familiarity with event-tracking frameworks and behavioral analytics. 
• Strong data storytelling skills—can translate complex data into concise, compelling narratives. 
• Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics. 

WHAT’S IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

_#LI-RS1

WHO YOU ARE:

We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs. 

You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data. 

WHAT YOU’LL DO:

• Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
• Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
• Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
• Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
• Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
• Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
• Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
• Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.

WHAT YOU’LL NEED:

• 5+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization. 
• Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets. 
• Experience designing A/B tests and experimentation frameworks to drive operational improvements. 
• Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling. 
• Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics. 
• Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership. 
• Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations. 
• Strong problem-solving skills and a proactive mindset to identify business opportunities using data 

Bonus Points If You Have:

• Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation). 
• Familiarity with event-tracking frameworks and behavioral analytics. 
• Strong data storytelling skills—can translate complex data into concise, compelling narratives. 
• Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics. 

WHAT’S IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

_#LI-RS1

Overview: The Senior Product Owner is responsible for establishing a deep product expertise both from a technical and market perspective by understanding buyer and user personas, value proposition, benefits, features and functionality, competitive landscape, architecture, code base, and technical components. This person collaborates closely with other product owners, product managers, scrum master(s), and development managers to leverage Agile processes and tools which support product requirements, sprint review, backlog refinement (grooming), sprint planning, retrospectives, and backlog/ticket creation. This role will partner closely with product managers in reviewing product roadmaps and drive the prioritization of work accordingly. This role will plan, prioritize, and maintain product feature backlog and development for a product and owns and drives product release planning, backlog prioritization, and ticket review through the elaboration of user stories. This person has prior experience with software-as-a-service (SAAS) distribution models. 

Duties and Responsibilities:

• Adopt and role model Agile behaviors while building an inclusive team culture.
• Drive strong collaboration across internal stakeholders including product, engineering, corporate development, and marketing to ensure timely execution and delivery of our products to market.

• Engage with internal and external stakeholders to inform product and feature design to drive perspective, requirements, and prioritization of the backlog in line with the product vision and while communicating expectations to internal and external stakeholders.
• Develop detailed business requirements that meet the needs of internal and external stakeholders and support corporate objectives; 
• Analyze the current system or application, conceptualize and define operational problems, model and present recommended enhancements and modifications, and walk each new enhancement or modification through the development process, from planning and preparation to testing and implementation; 
• Oversee the design, prioritization, and delivery of products through the software development lifecycle, from concept to testing, deployment, adoption and value realization
• Perform validation and testing of solutions through managing and executing user acceptance plans, collaborating with the engineering team during user testing and complex validation sessions, and responding to technical and functional product questions raised by stakeholders, and reformulate solutions as necessary to ensure that the recommended solution is responsive to the data requirements; 
• Analyze the impact of a proposed solution on connected processes, systems, and/or applications to determine the best course of action to achieve the desired outcome; 
• Assist in the development of roadmaps and business strategy for assigned product or department; 
• Demonstrate robust knowledge of the healthcare industry, product management, and software development to translate problems, needs, and opportunities into user stories. 
• Display effective time management across complex and overlapping projects while supporting your team with schedule and priority management.
• Maintain compliance with Inovalon’s policies, procedures and mission statement; 
• Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; and 
• Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Employer. 

Job Requirements:

• Minimum 3-5 years of experience with exposure to SAAS products within the healthcare industry as a business analyst or related role; 
• Minimum 2 years of experience driving the integration of 3rd party applications with major EHR systems (e.g., Cerner, Meditech, athenahealth, Veradigm, or Epic), or experience in EHR clinical module configuration;
• Prior experience with Payer-Provider Integration preferred, including familiarity with electronic data exchange for value-based care, risk adjustment, or HEDIS quality reporting;
• Deep technical proficiency in SMART on FHIR, OAuth 2.0, SMART Backend Services, Epic Public and Private Web Service APIs;
• Expertise in the clinical workflow, with the ability to integrate external application features to provider’s native workflow;
• Deep understanding of HL7 FHIR resources and a proven ability to map complex clinical data elements to FHIR R4 or US Core profiles;
• Direct experience documenting requirements for RESTful APIs, webhooks, and backend services that facilitate bi-directional data exchange between SaaS platforms and EHR data tiers;
• Expertise in CDS Hooks, including the ability to design trigger logic for Information, Suggestion, and App Link cards that minimize "alert fatigue" for clinicians;
• Agile / SCRUM experience and/or certification; 
• Excellent interpersonal, written, and oral communication skills; 
• High level of honesty, respect, dependability and flexibility; 
• Experience in fast-paced and rapidly growing environment; 
• Strong business acumen; 
• Must be comfortable gathering feedback from internal and external stakeholders. 
• Mastery of Microsoft Office tools, including Word, Excel, and PowerPoint preferred; and
• Great organizational skills and ‘get things done’ attitude.

Education:

• Bachelor’s degree or an equivalent combination of education and experience.

Physical Demands and Work Environment:

• Sedentary work (i.e., sitting for long periods of time);
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force;
• Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions;
• Subject to inside environmental conditions; and
• Travel for this position will include up to 10%.