Product Owner, Abstraction Analytics & Interoperability

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We are seeking a Product Owner to lead two or more Agile Scrum development teams in building and scaling a healthcare clinical data warehouse to support competitive differentiation and expansion of MRO’s Curation Solutions and Clinical Analytics product offerings.

TASKS AND RESPONSIBILITIES

• Own and communicate the product vision, strategy, and measurable outcomes for the clinical data warehouse.
• Lead roadmap development, prioritization, and release planning across multiple Scrum teams; manage dependencies and coordinate via Scrum of Scrums or scaled ceremonies.
• Translate business objectives into initiatives, epics, features, and user stories; define clear acceptance criteria; maintain clear definition of ready (DoR) and definition of done (DoD).
• Conduct ongoing backlog refinement, story mapping, and estimation.
• Drive discovery and research: stakeholder interviews, data flow diagraming, hypothesis validation, A/B testing.
• Ensure data governance, quality, security, and compliance (HIPAA/PHI, HITRUST) are embedded in requirements, acceptance criteria, and delivery checkpoints.
• Partner with clinical leaders, quality teams, IT, data engineering, BI developers, and compliance to ensure accurate implementation of quality measures and clinical logic.
• Lead stakeholder management: align expectations, balance competing priorities, and communicate progress, risks, and decisions clearly and frequently.

SKILLS|EXPERIENCE

Required Agile Scrum Experience

• End‑to‑end proficiency in Scrum: backlog management, story writing, acceptance criteria, refinement/grooming, estimation, sprint planning, daily standups, sprint reviews/demos, and retrospectives.
• Application of Agile metrics and practices: velocity, burndown/cumulative flow, WIP, cycle time, backlog health; risk/issue management; continuous improvement.
• Experience partnering closely with Scrum Masters, Engineering, QA/Test, Data Governance, Security, and Analytics teams to ship increments reliably.

Healthcare & Clinical Analytics Experience

• Hands‑on experience with clinical analytics use cases (e.g., quality performance, outcomes tracking, readmissions, care gaps, risk stratification, provider performance).
• Strong knowledge of healthcare quality measures: CMS Core Measures, MIPS, HEDIS, NAACCR, NCQA; experience defining measure logic and validating outputs.
• Familiarity with clinical coding and terminologies (e.g., ICD‑10, CPT, SNOMED CT, LOINC, RxNorm) and their use in quality measure calculations and reporting.
• Experience with clinical data warehouse design and delivery.
• Exposure to modern data platforms (e.g., Snowflake, Databricks, Azure Synapse, BigQuery, Redshift) and BI tools (e.g., Power BI, Tableau, MicroStrategy, Qlik, including semantic models, row‑level security, and governance).
• Strong understanding of data quality, reconciliation, de‑duplication, master data, and data lineage practices.
• Ability to define report/dashboard requirements, wireframes, and usability criteria; familiarity with self‑service analytics enablement and governance.

Healthcare Data Interoperability

• Practical experience with HL7 v2/v3 and FHIR standards preferred; understanding of EHR workflows and data models (Epic, Cerner) and associated integration patterns preferred.
• Ability to specify and prioritize requirements for data acquisition, normalization, and mapping.

QUALIFICATIONS

• 3+ years as a Product Owner or Product Manager in data warehousing; 3+ years experience in healthcare or clinical data/analytics preferred.
• Demonstrated track record working with multiple Agile Scrum teams simultaneously.
• Proven track record delivering data warehouse components and enterprise dashboards/reports to clinical and provider stakeholders.
• Proficient in writing detailed user stories, acceptance criteria, feature specs, and nonfunctional requirements (security, performance, availability).
• Excellent communication and facilitation skills; adept at translating complex clinical/data concepts into clear business language.
• Bachelor’s degree in a relevant field (e.g., Information Systems, Health Informatics, Computer Science, Public Health, or related) preferred.
• Experience applying AI/ML to healthcare data (e.g., predictive risk, anomaly detection, NLP on clinical notes) a plus.

REQUIRED COMPETENCIES

• Accountability: Demonstrated ownership of decisions and results; consistently meets commitments and upholds responsibilities.
• Market Opportunity Analysis: Guide strategic decisions; lead structured research.
• Strategic Alignment: Connects product delivery to the strategic vision and goals of the business.
• Product Definition: Influences the roadmap; leads business cases; drives backlog initiatives of the clinical data warehouse.
• Product Delivery: Captures requirements; creates, defines, and prioritizes features and stories; breaks down epics, features, stories and acceptance criteria.
• Stakeholder Management: Influences and aligns stakeholders; manages expectations; effectively balances competing priorities and tradeoffs.

WORK MODEL

• Remote with periodic on‑site stakeholder sessions and PI/cross‑team planning as needed. 10% travel required.