The SalesOps Associate provides front-line support to our rapidly-growing sales organization, including answering inquiries, maintaining data health, performing research and working on tasks that enable Account Executives to take data driven decisions, and maintaining the health of our sales tools and systems.

MongoDB’s SalesOps Associates are mentored and coached by highly-skilled Sales Operations leaders with shown track records. SalesOps Associates will gain practical, real-world sales operations experience, along with exposure to the best sales methodology in the industry. This experience provides an enviable foundation for your business career, whether you are passionate about a future in leadership or sales.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Shift Timings: 2:00 PM-10:00 PM (cabs will be provided)

You will have the opportunity to

• Accelerate your career through exposure to the most effective sales methodology and through working side by side with the best sales professionals in the industry
• Get insights and experience first-hand how an effective, fast-paced organization operates through learning about marketing/sales processes, collaboration and tools
• Establish a strong network of peers and mentors
• Gain insight into a $45Bn technology industry that is rapidly transforming

Responsibilities

• Data maintenance and cleanup initiatives such as Account Hierarchy, merging unnecessary accounts, contact movement and contact merging, cloud org movement etc
• Front-line/Tier-1 Support for Sales via the Sales Operations Case Queue, including initial triage of new Cases, fixing/resolving/responding to Cases as knowledge & experience allows, and raising cases to Salesforce.com Administrators or other teams like Deal Desk where appropriate
• Serve as an initial point of escalation from other Sales Support functions (Deal Desk, Commissions, Support Operations) where they need assistance from SalesOps
• Data updates, such as Account/Territory Assignments
• User Administration e.g. activating new users and deactivating departing users in sales tools
• Identification of trends of issues, problems, and requests that may be symptoms of broader opportunities for improvements in processes, tools, or training
• Configuration/setup tasks in Salesforce.com and other Sales Tools, such as our custom Territory Management solution or our user hierarchy management in Aviso (forecasting tool)
• Adaptive to constantly shifting priorities and responsive to unpredictable volume of inbound requests with varying degrees of vitality
• Ability to learn prescribed tasks quickly, and grow into understanding and supporting less prescribed processes along with creating documentation SOPs
• Strong analytical skills, multitasker, gives attention to detail & showcases customer centricity in managing day to day operations
• Identify and qualify new accounts to support the team in managing territory bullpens globally
• Build Pipeline Generation (PG) research reports by researching accounts and executives to identify and build lists of key roles and targets
• Collects, analyzes, and interprets data to identify trends, patterns, and generates insights
• Writing SQL queries to automate manual processes
• Create Sigma/Tableau dashboards
• Analyzing code segments regularly
• Working with internal customers across different time zones
• Create requirement gathering docs, estimate project timelines, UAT scenarios, automation release

Skills & Experience

• Graduate in any discipline with a minimum 2.5 years of sales operations experience is preferred
• Must have good Salesforce Knowhow and basic understanding of objects: account, contact, lead, opportunity
• Hands on experience on Data Loader, Demand Tools or similar tools and knowledge of research databases such as ZoomInfo, InsideView, Crunchbase etc is preferred
• Hands on experience on sales productivity and efficiency tools such as LeadIQ, ZoomInfo, and Cognism is preferred
• Experience in working with ticketing/case management systems e.g. Salesforce, Zendesk, Jira and similar tools
• Able to handle and work with large volume of data
• Understanding of sales cycle and process & data segmentation
• Must have hands on experience on Microsoft Office/G suite and intermediate proficiency in Advanced Excel and Macros
• Must show process and business oriented mindset
• Must have critical thinking, attention to detail, problem solving and troubleshooting attitude
• Should have problem identification and articulation skills
• Experience - 3 yrs in SQL
• Strong Automation Skills with experience in SQL/BI
• Good Data warehouse knowledge
• Bachelor’s degree or higher in Operations, Business, Project Management, Engineering
• Open-minded, creative, and proactive thinking
• Prior experience working with bulk update tools like the workbench

Behavioral & Engagement Expectations

• Team player
• Open to feedback
• Contributor in meetings
• Assertiveness
• Stakeholder management
• Able to carry out repetitive work
• Collaborative mindset
• Customer-Focused Mindset
• Problem-solving attitude
• Analytical skills

Perks & Benefits

• Macbooks are company-standard
• Competitive salary and equity
• Comprehensive Health cover, dental cover, travel insurance & Life Insurance
• 20 weeks of Paternity and 26 weeks of Maternity leave to spend time with new arrivals

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 425501

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

About Inizio

Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired.

Role Summary:

Seeking an Azure Data Engineer with 2–4 years of experience to build and support data pipelines on Azure and contribute to our Data Warehouse and Microsoft Fabric initiatives.

Key Responsibilities:

• Develop and maintain ADF pipelines for data ingestion and transformation
• Ingest data from databases, APIs, SFTP, and SharePoint into ADLS/Blob
• Process data across Raw → Staging → EDW layers
• Write and optimize SQL queries and stored procedures
• Implement incremental/delta loads and basic error handling
• Monitor and troubleshoot pipelines
• Work with Lakehouse concepts (Bronze/Silver/Gold)
• Support Python/PySpark-based transformations
• Contribute to Microsoft Fabric (Pipelines, Lakehouse, Notebooks)

Required Skills:

• 2–4 years of Data Engineering experience
• Strong Azure Data Factory (ADF) experience
• Strong SQL (queries, stored procedures)
• Strong understanding of Data Warehouse concepts (data modeling, staging, and EDW layers)
• Good understanding of incremental and delta data loading strategies
• Working knowledge of Python with PySpark for data transformations on Azure Databricks
• Understanding of Lakehouse architecture
• Familiarity with Microsoft Fabric (nice to have)
• Experience with metadata/config-driven pipeline frameworks (nice to have)

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

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 align with every qualification, we encourage you to apply anyway.

About Inizio

Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired.

Role Summary:

Seeking an Azure Data Engineer with 2–4 years of experience to build and support data pipelines on Azure and contribute to our Data Warehouse and Microsoft Fabric initiatives.

Key Responsibilities:

• Develop and maintain ADF pipelines for data ingestion and transformation
• Ingest data from databases, APIs, SFTP, and SharePoint into ADLS/Blob
• Process data across Raw → Staging → EDW layers
• Write and optimize SQL queries and stored procedures
• Implement incremental/delta loads and basic error handling
• Monitor and troubleshoot pipelines
• Work with Lakehouse concepts (Bronze/Silver/Gold)
• Support Python/PySpark-based transformations
• Contribute to Microsoft Fabric (Pipelines, Lakehouse, Notebooks)

Required Skills:

• 2–4 years of Data Engineering experience
• Strong Azure Data Factory (ADF) experience
• Strong SQL (queries, stored procedures)
• Strong understanding of Data Warehouse concepts (data modeling, staging, and EDW layers)
• Good understanding of incremental and delta data loading strategies
• Working knowledge of Python with PySpark for data transformations on Azure Databricks
• Understanding of Lakehouse architecture
• Knowledge of Power Bi. 
• Familiarity with Microsoft Fabric (nice to have)
• Experience with metadata/config-driven pipeline frameworks (nice to have)

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

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 align with every qualification, we encourage you to apply anyway.

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 Delivery & Dashboards Executive role will report into the Dashboard Manager. The Data Delivery & Dashboards Executive will be a key member of the newly formed India-based Data Management & Delivery Hub, supporting quantitative healthcare market research projects across global markets. As a Dashboard Developer Executive, you build and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. You will also support the team in delivering insightful, user-friendly dashboards through automated tools and off-the-shelf solutions. This is a fantastic opportunity to develop your skills in data management, quality assurance, and data visualisation, while working alongside an experienced team in a dynamic, global environment. Skill Set required

What you'll be doing

Brand Equity tracking support with our in-house platform:

• Maintain the pipeline for the project data process flow (this includes receival of data into in-hosue Tool, through the data processing stage into the storage mart, through the python utilities into required outputs)
• Maintain and update python utilities when required due to changes from the research team
• Manage and rectify when failures occur in the pipeline, liaising with both the data providers, research team and developers on the dashboard
• Manage the storage mart and data warehouse
• Support team with edits in-house platform

Data Quality Checks:
Assist in performing detailed quality control checks on large and complex datasets to ensure accuracy, completeness, and consistency.

Data Transformation & Standardisation:
Support the transformation and standardisation of data files to align with internal data structures, project needs, and client-specific formats.

Dashboard Support & Maintenance:
Assist in the creation, population, and maintenance of dashboards using off-the-shelf tools (e.g., Power BI, Tableau, or similar platforms), ensuring outputs are clear, accurate, and aligned with research objectives.

Data Delivery Management:
Help manage and organise the final delivery of data files and dashboards to internal teams and clients, ensuring timely and error-free execution.

Collaboration Across Teams:
Work closely with internal stakeholders including Development team, Data Processing, Scripting, Project Management and Research teams to ensure smooth handovers and integration of deliverables.

Documentation & Reporting:
Maintain clear documentation of processes, data transformation steps, and QC logs to support transparency, reproducibility, and audit-readiness.

Continuous Learning & Development:
Engage in training opportunities to build knowledge in healthcare data, market research workflows, dashboarding tools, and data handling best practices.

What you'll need

Your skills and experience:

Technical Expertise

• Atleast 5+ years expertise in languages like Python and SQL.
• Mastery in advanced Core Python (generators, decorators, OOP, async programming), architecture design.
• Proficient in libraries like Pandas - Joins, Melting, handling missing values, NumPy, TensorFlow etc.
• Proficient in SQL (PostgreSQL, MySQL).
• Understanding MVC/MVT, microservices, and system design principles.
• Experience in setup of data pipelines is highly desirable.
• Knowledge of high-performance framework (Django, FastAPI, Flask) is a plus.
• Cloud platform expertise (AWS, Azure, GCP), and building ETL/ELT pipelines.
• Experience in version control system.

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
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• 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 the Role:

We are looking for a hands-on Senior Data Product Manager to join Payoneer's Data Product Unit - the central hub for data product management across the company. In this role, you will be part of a dedicated squad responsible for data products serving the Finance organization, working closely with Finance stakeholders to design and deliver data products that support operational financial capabilities, book closing processes, regulatory reporting, and analytical needs.

You will lead the data product lifecycle end-to-end - from understanding business and regulatory challenges, defining analytical and operational needs, through designing scalable data models and assets, to delivering high-quality data products that empower the Finance organization.

As part of a globally distributed Finance Data Squad, you will collaborate closely with team members across multiple locations worldwide, as well as with the BI developers based alongside you in India. This role is ideal for a product-minded, business-oriented data person who is both strategic and hands-on, and who thrives on connecting complex financial business goals with technical execution.

What You'II Do:

• Own and drive your data product items within the Finance squad roadmap, aligned with strategic business goals, regulatory requirements, and SLA commitments - actively contributing to the squad's shared priorities and delivery goals.
• Work closely with Finance stakeholders to understand data needs, define and prioritize use cases, and develop solutions that improve data accessibility and usability.
• Translate business and regulatory objectives into clear data requirements, KPIs, and technical specifications (PRD and STT).
• Design, develop, and maintain scalable, reliable, and high-performance data products and models that serve analytical, operational, and regulatory reporting use cases.
• Partner closely with BI developers in India to ensure seamless integration of data products with reporting and visualization layers.
• Collaborate with Data Engineering and BI globally to implement and deliver high-quality solutions end to end.
• Ensure alignment and consistency between Finance domain-level data products and the company's core data assets.
• Drive data quality standards and maintain SLA commitments critical to financial reporting and regulatory stability.
• Maintain clear and proactive communication with stakeholders across global teams, ensuring transparency, clarity, and measurable outcomes.
• Monitor usage, adoption, and business impact of delivered data products, iterating based on feedback.
• Contribute to the broader data modernization and innovation initiatives led by the Data Product Unit.

Who You Are:

• 5+ years of experience in data product management, data analytics, or data-driven product roles, with proven hands-on experience.
• Strong understanding of data modeling, data warehouse architecture, and data pipeline design - experience with cloud platforms such as BigQuery required. (ETL Experience)
• Solid business acumen with a good understanding of financial data domains including financial reporting, revenue recognition, balances, and regulatory data.
• Excellent communication and stakeholder management skills - fluent English, capable of bridging business and technical conversations clearly and effectively across a globally distributed team.
• Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Experience working within cross-functional delivery squads with Data Engineering and BI.
• Strong quality orientation with experience defining and enforcing data quality standards, SLA tracking, and issue management.

Must have:

• ETL Experience- data modeling, data warehouse architecture, and data pipeline design - experience with cloud platforms such as BigQuery required
  Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Work with Data & Engineering team (stakeholders) + non-technical team (officers of regulations; finance team

Nice to have:

• Experience working in fintech, payments, or financial services environments.
• Familiarity with regulatory reporting requirements and compliance-driven data products.
• Experience with visualization tools such as Looker, Power BI, or Tableau.
• Background in building data products at scale within multi-domain or globally distributed organizations.
• Experience working with geographically distributed teams across multiple time zones.

#LI-PG1 

Your Impact

As the Product Manager, you will be the critical bridge between engineering, the Business Intelligence (BI) team, and product leadership. You will oversee the strategic direction of our Enterprise Data Warehouse (EDW), ensuring it serves as a robust foundation for product analytics and business-critical operations like financial reporting and customer success. Your primary mission is to drive the adoption of a data-driven culture by streamlining product operations and managing the change necessary to integrate data into every facet of the engineering and product lifecycle.   

What You'll Do

• Strategic Data Leadership: Lead the Enterprise Data Warehouse (EDW) investment plan and data strategy to enable data-driven decision-making across the organization.
• Drive the Roadmap: Partner with the Gurugram engineering team to translate technical research into production-ready services and prioritize infrastructure roadmaps that unblock feature teams.
• Delivery Strategic Outcomes: Oversee the optimization of EDW operations, manage engineering queues, and coordinate critical initiatives like billing data integration.
• Stakeholder Advocacy & Change Management: Act as the "voice of the business" to drive wide-scale adoption of platform services and standardize analytics tools across PM teams.

Who You Are

• Data Strategy & Product Experience: 2–3 years of proven success driving enterprise data roadmaps. You possess the technical literacy to navigate APIs, EDW architectures, and product analytics with ease.
• Modern Data Stack Proficiency:
  • Cloud Infrastructure: Experience with platforms like Snowflake, BigQuery, or Databricks, including a solid understanding of cloud cost optimization (FinOps).
  • Governance & Compliance: Familiarity with data privacy regulations (GDPR, CCPA) or experience implementing data lineage and metadata management frameworks.
  • Advanced Analytics: Hands-on experience with modern BI tools (e.g., Looker, Tableau, or Sigma) to help standardize the organization’s "analytics toolset."
• Stakeholder Management: A skilled navigator of complex relationships across Engineering, BI, and Executive leadership, with a talent for aligning overlapping scopes and shared goals.
• Operational Excellence: An expert at queue management and process definition, dedicated to improving the quality of engineering outputs through rigorous grooming and bug-catching.
• Strategic & Adaptive Thinking: The capability to redefine your role as business needs shift—specifically the ability to transition from a purely technical focus to a stakeholder-facing advocacy role.

Even Better If You Have...

• Legal Tech Domain Expertise: Prior experience working with e-discovery, legal hold software, or enterprise risk management platforms.
• Technical Certifications: Professional certifications in modern data platforms (e.g., Snowflake SnowPro Core, Google Cloud Professional Data Engineer, or Databricks Certified Associate).
• Software Engineering Background: A past life as a developer or data engineer, specifically working with Python, SQL, or Scala, to better partner with the engineering team.
• Customer Focus & Insight: Deeply understand user needs and pain points through research to guide product decisions.
• Strategic Clarity: Create and communicate clear direction aligned with business goals and measurable outcomes.
• Delivery of Top Priorities: Drive high-quality and timely delivery of the most important new products and experiences.
• Own the Outcome: Take full responsibility for achieving results and measurable impact from definition through iteration.

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company