Data Product Manager
About the role
This organization operates in the healthcare sector, focusing on providing comprehensive care for older adults through the Program of All-Inclusive Care for the Elderly (PACE). It addresses the challenge of coordinating medical and daily support services to help aging populations live independently and with dignity. The organization integrates clinical and social care both in centers and in participants’ homes, aiming to deliver scalable and affordable care as it expands to meet growing and complex needs.
The Data Product Manager will lead the development and management of the organization's data products and infrastructure. Reporting to the VP of Product, this role is critical to aligning data initiatives with business objectives and user needs. The position requires a hands-on approach to defining data product roadmaps, collaborating across teams to deliver solutions that support clinical, financial, operational, and regulatory functions.
Responsibilities
- Define business problems to prioritize data product development
- Own full delivery cycle including specifications, sprint management, dashboard design, testing, and rollout
- Perform hands-on data tasks such as querying and code review using SQL and Git
- Manage ad hoc requests by distinguishing quick fixes from roadmap items
- Utilize AI tools to enhance productivity and model best practices
- Support data products across platform integrations, clinical and operational services, regulatory, and enterprise reporting
Requirements
- 3 to 5+ years in product management, data/BI, or related fields with experience shipping data products end-to-end
- Solid understanding of healthcare data ontologies and IT systems
- Proficiency in SQL for querying, validation, and troubleshooting
- Ability to write clear technical specifications
- Experience collaborating with business stakeholders to gather requirements and lead user acceptance testing
- Familiarity with data development tools such as Jira, Git, Power BI, and cloud platforms like Databricks or Azure
- Comfort using AI tools to improve workflows
- Adaptability to fast-paced, evolving environments and ambiguity
- Strong integrity, ownership, and commitment to organizational impact