Data Product Manager

Habitat Health is a mission-driven healthcare company that provides integrated medical and social care to older adults through the PACE model. The Data Product Manager will own the roadmap and end-to-end delivery of data products and infrastructure, spanning platform integrations, dashboards, reporting, and hands-on data work. The role partners with product, engineering, clinical, operational, and executive stakeholders to define priorities, build solutions, and support user acceptance and rollout.

Responsibilities:

• Discovery: define the business problem before the build (e.g. is automating LOPMR for CMS audits the right priority this quarter?)
• Build and ship: own the full delivery cycle – specs, Jira/sprint process, dashboard design and sign-off, UAT, and rollout
• Hands-on data work: use SQL and Git to independently query, validate, and review code, not just manage a backlog
• Triage: distinguish quick fixes from roadmap work across a steady stream of ad hoc requests
• AI fluency: use AI tools (e.g. Claude) to accelerate the work and model that fluency for the team
• Range: move across all Platform & Integrations, Clinical & Operational Services, Regulatory and Enterprise Reporting, helping shape how data product works at Habitat
• Work in healthcare, administrative, community, or remote environments, depending on role needs
• Communicate effectively with participants, caregivers, team members, and other stakeholders in person, by phone, and through electronic systems
• Remain stationary and/or move about for extended periods, consistent with job duties
• Operate standard office equipment and/or clinical tools (e.g., computers, phones, medical devices, documentation systems)
• Travel between work sites or community locations as needed

Requirements:

• 3 to 5+ years of experience in product management, data/BI, or a closely related field, with a track record of shipping data products, dashboards, or reporting tools end-to-end (or equivalent combination of education and experience)
• Solid understanding of healthcare data ontologies, systems, and information technology
• Proficiency in SQL sufficient to independently query, validate, and troubleshoot data
• Demonstrated ability to write clear technical specs (metric definitions, cohort logic, source-to-target mapping, etc.)
• Experience partnering directly with business stakeholders and end users – e.g., operations, compliance, or clinical leadership – to gather requirements, design solutions, and lead user acceptance testing
• Familiarity with a modern data development stack (e.g., Jira, Git, Power BI, and cloud data platforms such as Databricks or Azure) sufficient to spec, review, and troubleshoot alongside engineering
• Comfort and enthusiasm using AI tools to enhance productivity in requirements writing, documentation, analysis, and workflow automation
• Aligns with our purpose and our values, and is excited about living those out in daily practice
• Ability to thrive in a fast-paced, evolving environment with comfort navigating ambiguity, adapting quickly, and contributing to continuous improvement
• Strong learning and growth mindset, including seeking feedback, engaging in healthy debate and using data and curiosity to inform decisions
• Acts with integrity and ownership, considering the broader organizational impact, doing the right thing, and following through to deliver results
• Working knowledge of Agile/Scrum practices, including backlog grooming, sprint planning, and Jira (or similar tools)
• Experience in PACE, VBC, or another regulated, compliance-driven environment, including deep working knowledge of healthcare data ontologies (e.g., CPT, ICD-10, NDC)
• Experience with Epic (Clarity, Caboodle, Chronicles), medical/pharmacy claims data, or FHIR/HL7-based integrations