Product Owner II - Data

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; 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 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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