Product Owner II - Data

Experit; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Experit is seeking a Data & Analytics Product Owner to translate data strategy into prioritized work and own day-to-day execution of data products, driving measurable customer and business value.

You will collaborate with Product Management, Data Engineering, Analytics, Architecture and QA to move work from discovery through delivery and adoption, refining backlogs and ensuring strong acceptance criteria across time zones.

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• 4+ years of experience in product ownership, product analysis, or data analytics.
• Experience translating complex business needs into clear product requirements, user stories, and acceptance criteria.
• Strong analytical skills with working knowledge of SQL.
• Experience with modern data platforms, data warehouses, and analytics tools.
• Understanding of data concepts including models, dimensions, data grain, transformations, quality, refresh cadence, and access controls.
• Experience collaborating across Product, Data Engineering, Analytics, Architecture, QA and business teams.
• Strong written and verbal communication skills to translate between technical and non-technical audiences.
• Ability to manage competing priorities, ambiguity, and cross-functional delivery.

Responsibilities

• Own day-to-day execution of assigned data/analytics roadmap priorities from discovery to delivery.
• Partner with Product Manager to translate strategy into executable data capabilities.
• Own backlog quality, prioritization, and readiness, with clear epics and stories.
• Confirm definitions, metric logic, data grain, edge cases, and acceptance criteria with stakeholders.
• Coordinate across distributed teams, maintaining decisions, handoffs, and delivery status.
• Maintain documentation of decisions, assumptions, and changes throughout delivery.
• Lead backlog refinement and delivery discussions, ensuring value and necessity.
• Evaluate change requests against scope and dependencies; escalate trade-offs as needed.
• Monitor adoption and performance of released capabilities and identify usability improvements.

Skills

Analytical skills

SQL

Communication

Requirements translation

Education

Bachelor's degree or equivalent experience

Tools

Snowflake

Tableau

Power BI

Job description

The Data & Analytics Product Owner translates data and analytics strategy into clear, prioritized, and executable work that delivers measurable customer and business value. This role owns day-to-day execution for assigned data products and capabilities, partnering with Product Management, Data Engineering, Analytics, Architecture, and business stakeholders to move work from discovery through delivery and adoption.ResponsibilitiesOwn day-to-day execution of assigned data and analytics roadmap priorities from discovery and requirements through delivery, validation, and release.Partner with Product Manager to translate strategy, customer needs, and business priorities into executable data and analytics capabilities.Own backlog quality, prioritization, and readiness, ensuring epics and stories are clearly defined, appropriately sequenced, and ready for delivery.Confirm business definitions, source-system expectations, metric logic, data grain, edge cases, and acceptance criteria with appropriate stakeholders before development begins.Serve as a consistent coordination point across geographically distributed Product, Data, Analytics, and Engineering teams, maintaining clear decisions, requirements, handoffs, and delivery status across time zones.Maintain clear documentation of product decisions, assumptions, unresolved questions, business rules, and requirement changes throughout deliveryOwn backlog refinement and delivery discussions, ensuring teams understand what is being built, why it matters, and how success will be measured.Evaluate new requests and requirement changes against committed scope, priorities, dependencies, and delivery impact; escalate trade-offs when appropriate.Partner with customers and internal stakeholders to understand workflows, analytical needs, pain points, and opportunities for improvement.Monitor adoption and performance of released capabilities and identify opportunities to improve usability, trust, scalability, and value.Education and ExperienceBachelor's degree in Business, Information Systems, Computer Science, Data Analytics, Engineering, or a related field, or equivalent experience.4+ years of experience in product ownership, product analysis, business analysis, data products, analytics, or a similar role.Experience translating complex business and analytical needs into clear product requirements, user stories, and acceptance criteria.Strong analytical skills and working knowledge of SQL, with the ability to understand datasets and validate requirements or results.Experience working with modern data platforms, data warehouses, business intelligence tools, or analytics products.Understanding of core data concepts including data models, dimensions and measures, data grain, transformations, data quality, refresh cadence, and access controls.Experience working across Product, Data Engineering, Analytics, Architecture, QA, and business teams.Strong written and verbal communication skills with the ability to translate between technical and non-technical audiences.Ability to manage competing priorities, ambiguity, dependencies, and cross-functional delivery.Preferred QualificationsExperience with urgent care, ambulatory care, physician billing, professional claims, or multi-location healthcare organizations.Familiarity with agentic AI systems, MCP (Model Context Protocol), retrieval-augmented generation, or similar AI orchestration frameworks.Experience with Snowflake or another modern cloud data platform.Experience with Tableau, Power BI, or similar analytics platforms.Experience with semantic layers, governed metrics, reusable data models, or self-service analytics.Equal Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.