Habitat Health is a company focused on enabling older adults to experience independent and joyful aging through comprehensive health care. The Sr. Manager, Healthcare Data Analytics will lead a team to build and oversee healthcare data analytics, manage stakeholder relationships, and support strategic projects involving predictive analytics and operational improvements.
Responsibilities:
- 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
- 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
- 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
- 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
- Support data governance initiatives, especially those related to defining standard metrics / KPIs and managing the development of ETL processes that ensure metrics stay consistent in a clearly defined Data Mart / “business rules” layer
- Leverage your knowledge of Habitat’s data to support strategic / advanced projects across predictive analytics, growth strategy, market planning, risk modeling, operational improvements, vendor selection / integrations, forecasting, MLR drivers, etc
Requirements:
- 8+ years of experience in healthcare data analytics
- 3+ years directly managing a team of healthcare data analysts
- Excellent communication skills; able to explain technical concepts to clinical and operational stakeholders
- Experience with modern data development stack (e.g. Jira, Git, Azure, Databricks, Airflow)
- Strong understanding of healthcare data ontologies including CPT, ICD-10, NDC, etc
- Experience working directly with providers; you will need to be able to bridge front-end EHR application features with back-end data tables
- Strong attention to detail and data quality, with a mindset toward reproducibility and documentation
- Aligns with our purpose and our values, and is excited about living those out in daily practice
- Ability to lead with influence [especially for cross-functional roles]
- MBA or master's degree in a technical discipline (analytics, economics, engineering, etc.)
- Experience working in start-ups or rapidly scaling healthcare service organizations
- Prior experience founding, building and leading healthcare data analytics teams