At Revere Health, we believe there is a better path to healing and healthcare maintenance, and we’re working on this mission—one patient at a time. We’re a national leader in a movement called value-base care which aims to improve treatment outcomes and keep costs down. Our internal culture is one that promotes respect and consistently recognizes the impact that individual employees have on the mission of the organization.
Summary:
The Data Product Manager is responsible for driving the strategy, development, and lifecycle management of data products that enable actionable insights, clinical excellence, and operational efficiency across a large multi-specialty physician group. This role bridges the gap between clinical, operational, and technical teams—ensuring data assets and platforms deliver measurable value to providers, administrators, and patients.
Essential Duties and Responsibilities:
- Data Product Strategy & Vision
- Define and execute a data product roadmap aligned with organizational goals for population health, operational efficiency, and patient outcomes.
- Partner with clinical, operational, and IT leadership to identify opportunities where data products can drive measurable improvement.
- Establish product success metrics (adoption, quality, ROI, etc.) and continuously refine priorities based on impact.
- Product Ownership & Lifecycle Management
- Manage the full product lifecycle of data assets, analytics tools, and data platforms—from concept to adoption and ongoing improvement.
- Develop clear product requirements, user stories, and acceptance criteria for engineering and analytics teams.
- Oversee prioritization of the data backlog and balance competing stakeholder needs.
- Ensure compliance with data governance, privacy, and security standards (HIPAA, SOC 2, etc.).
- Stakeholder & Cross-Functional Collaboration
- Act as the primary liaison between clinicians, data engineers, analysts, and executives.
- Translate business and clinical needs into technical requirements and ensure deliverables meet stakeholder expectations.
- Lead product demos, training, and communication to drive engagement and adoption.
- Data Quality, Integration, & Insights
- Partner with data engineering to enhance data quality, interoperability, and master data management.
- Champion usability and accessibility of enterprise data—enabling self-service analytics and trustworthy reporting.
- Support analytics teams in developing KPIs, dashboards, and advanced models that inform clinical and operational decision-making.
Qualifications:
Education
- Bachelor’s degree in Business, Computer Science, Information Systems, Healthcare Administration, or related field required.
- Master’s degree in Business Analytics, Public Health, or related field preferred.
Experience
- 5+ years of product management, data analytics, or data platform experience.
- Experience in healthcare or life sciences required—preferably in a large physician group, health system, or payer setting.
- Proven success managing data-focused products (data warehouses, APIs, dashboards, ML models).
- Strong familiarity with EHRs (e.g., TouchWorks, NextGen), claims data, quality reporting (HEDIS, MIPS), and value-based care analytics.
- Strong understanding of data architecture, governance, and interoperability (FHIR, HL7, MS SQL Server, Azure, etc.).
- Excellent communication and stakeholder management skills.
- Analytical mindset with ability to define metrics and measure impact
- Agile product management experience and familiarity with tools like Jira, Aha!, or Azure DevOps.
- Collaborative leadership style with ability to work effectively across clinical and technical teams.