MRO Corporation

Lead multiple Scrum teams in developing a healthcare clinical data warehouse, ensuring data quality, compliance, and stakeholder alignment. | Extensive experience with Agile Scrum, healthcare data, clinical analytics, and data platform technologies, along with strong stakeholder management skills. | 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.