Product Owner II - Data

Experity India; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Experity is seeking a Data & Analytics Product Owner in Bengaluru to translate data strategy into executable capabilities. You will own day-to-day execution, refine backlog, and partner with product, data engineering, and analytics teams to deliver measurable business value.

Responsibilities include turning complex data needs into user stories, maintaining clear requirements, and guiding delivery across time zones. Strong SQL, data concepts, and communication skills are essential.

Qualifications

• Bachelor’s degree in a related field or equivalent experience.
• 4+ years in product ownership, product analysis, or data analytics.
• Ability to translate complex data needs into clear requirements and acceptance criteria.

Responsibilities

• Own day-to-day execution of data analytics roadmap priorities from discovery to delivery.
• Translate strategy and user needs into executable data capabilities and stories.
• Prioritize and refine epics and user stories with clear acceptance criteria.
• Coordinate across distributed teams and maintain delivery status across time zones.
• Evaluate requests against scope and dependencies, communicating trade-offs.

Skills

SQL knowledge

Data analytics

Product ownership

Stakeholder communication

Cross-functional collaboration

Education

Bachelor's degree (Business / IS / CS / Data Analytics / Eng)

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; elevate 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

This 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. At Experity we're committed to changing on-demand healthcare for the better with innovative advancements that keep patients at the center of the solutions we build and the services we provide. We share that same level of commitment to providing a postive workplace where out team can develop and thrive to become leaders in the healthcare industry. At Experity we lift eachother up and put our teams first, encourage each other to share openly, and work together to set and crush our goals. United by these values, we know where we want to go and how to get there.