Senior Director, Health Economics & Actuarial Analytics

permanent

Fully Remote

Only accepting applications from: United States

Own how we measure clinical outcomes across client member populations: weight loss, A1c, blood pressure, food insecurity, HEDIS measures, and the quality metrics our clients hold us to.
Own Foodsmart’s ROI methodology: translating those clinical outcomes into economic value, and identifying which member populations we help the most.
Represent that methodology directly to payers and external actuarial and consulting firms, defending our approach under real technical scrutiny rather than just presenting a final number.
Own the analytical substance of the value story we tell individual clients, grounded in their own members’ outcomes rather than generic benchmarks.
Help shape our value-based care strategy, including which member populations to target and what performance we can credibly stand behind.
Build our outcomes and ROI methodology as a scalable system, one that extends to new populations and new client conversations without being rebuilt from scratch each time.
Partner on peer-reviewed research with academic collaborators.
Work with our clinical team to translate findings and best practices into how care is actually delivered.
Lead and develop a small team while staying hands-on, and lean on AI and other tooling to extend how much ground you and your team can cover.

Experience

Rigorous in the way a payer’s actuarial team is rigorous, able to reason about cost, utilization, risk, and credibility.
Fluent in both clinical quality measurement and economic value, comfortable between both disciplines.
Comfortable as the technical counterpart to a payer’s own actuaries and consultants.
Seasoned with experience in proving ROI and value to payers, not learning on the job.
A systems builder focused on creating repeatable methodologies.
Experienced in translating technical findings to care delivery.
Background in health economics, actuarial science, or a closely related quantitative field.
Experience with telehealth or digital health companies, or payer or consulting side experience.
Hands-on experience measuring clinical outcomes and quality across populations.
Deep, hands-on experience with healthcare claims data, including use for cost and utilization analysis.
Expertise in causal inference as applied to healthcare cost and outcomes.
Direct experience presenting and defending ROI methodology with payers, actuaries, or similar audiences.
Experience with value-based care arrangements.
Peer-reviewed publication experience is a plus.
Experience partnering with clinical teams to translate findings into practice.
Comfort working directly with data using tools like SQL, R, or Python.
Familiarity with AI-native tooling.
Excellent written and verbal communication skills.