Sr. Manager, Healthcare Data Analytics

Habitat Health

About The Position

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. This role involves building and leading a healthcare data analytics team from the ground up, starting with hands-on development work while hiring and onboarding new data analysts. The Sr. Manager will partner with various internal teams to shape and deliver a data roadmap, own analytic datasets across multiple healthcare systems, build and oversee automated self-service dashboards, support data governance initiatives, and leverage data knowledge for strategic projects.

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 Habitat Health's purpose and values, and is excited about living those out in daily practice
Ability to lead with influence [especially for cross-functional roles]
Proof of COVID-19 and flu vaccination or declination form and required masking while in participant locations
Adhere to all infection control, PPE standards and vaccination requirements related to specific roles and locations as a condition of employment

Nice To Haves

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

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.
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.
Define tests to prevent data quality issues from recurring.
Build and oversee the development of fully automated self-service dashboards in Power-BI.
Understand the business problem, define specifications, manage timelines, write / manage code, review pull requests in Git, write documentation, and organize and publish results in a manner that delights 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 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.