Product Owner II - Data

Experity; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Experity in Bengaluru is seeking a Data & Analytics Product Owner to translate data strategy into prioritized work that delivers measurable customer and business value. You will own day-to-day execution for assigned data products, partnering with Product Management, Data Engineering, Analytics, Architecture, and business stakeholders to move work from discovery through delivery and adoption.

The role requires strong analytical skills, a working knowledge of SQL, and experience turning complex

Qualifications

• Bachelor's degree or equivalent experience.
• 4+ years of experience in product ownership, product analysis, or similar.
• Strong analytical skills and working knowledge of SQL.

Responsibilities

• Own day-to-day execution of data analytics roadmap priorities from discovery through delivery.
• Partner with Product Manager to translate strategy and needs into capabilities.
• Own backlog quality, prioritization, and readiness with clear epics and stories.
• Confirm data definitions, metrics, data grain, and acceptance criteria with stakeholders.
• Coordinate across distributed teams, maintaining decisions and delivery status.
• Document product decisions, assumptions, and changes throughout delivery.
• Own backlog refinement and delivery discussions; ensure understanding of value.
• Evaluate new requests against scope, priorities, and impact; raise trade-offs as needed.
• Collaborate with customers and internal stakeholders to understand workflows and analytics needs.
• Monitor adoption and performance of capabilities to improve usability, trust, and value.

Skills

Analytical thinking

SQL

Communication

Education

Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, Engineering, or related field

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.

Responsibilities

• Own 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 delivery
• Own 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; raise 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 Experience

• Bachelor’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 Qualifications

• Experience 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 Employer
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