Sr. Manager, Healthcare Data Analytics

At Habitat Health, we envision a world where older adults experience an independent and joyful aging journey in the comfort of their homes, enabled by access to comprehensive health care. Habitat Health provides personalized, coordinated clinical and social care as well as health plan coverage through the Program of All-Inclusive Care for the Elderly (“PACE”) in collaboration with our leading healthcare partners, including Kaiser Permanente. Habitat Health offers a fully integrated experience that brings more good days and a sense of belonging to participants and their caregivers. We build engaged, fulfilled care teams to deliver personalized care in our centers and in the home. And we support our partners with scalable solutions to meet the health care needs and costs of aging populations. Habitat Health is growing, and we’re looking for new team members who wish to join our mission of redefining aging in place. To learn more, visit https://www.habitathealth.com. Role Scope: • Leadership: build and lead a healthcare data analytics team from the ground up, starting with 1-2 years of hands-on development work as you hire and onboard 2-3 new data analysts in your first year of working at Habitat Health. • Customers: partner with Growth, Compliance, Health Plan, and Leadership teams to shape a data roadmap that you will be responsible for delivering, including direct stakeholder management across VP-level leaders. • Infrastructure: own analytic datasets across EHR (Epic Clarity), medical claims, pharmacy claims, enrollment (Salesforce), eligibility, transportation, etc. in partnership with our Data Engineering team. When data quality issues arise – define tests to prevent them from recurring. • Dashboards: build and oversee the development of fully automated self-service dashboards in Power-BI, including understanding the business problem, defining specifications, managing timelines, writing / managing code, reviewing pull requests in Git, writing documentation, and organizing and publishing results in a manner that delights our data customers. • Governance: support data governance initiatives, especially those related to defining standard metri