Senior Director, Health Economics & Actuarial Analytics
New
F
FoodsmartDigital Health
Remote (US)Full-TimeDirector
Salary$210,000 - $245,000 a year + bonus + benefits
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Job Details
- Required Skills
- PythonSQLR
Requirements
- Background in health economics, actuarial science, or a related quantitative field.
- Proven track record of proving ROI and value within a telehealth or digital health company, or payer/consulting background.
- Hands-on experience measuring clinical outcomes and quality across populations, including HEDIS and chronic condition metrics.
- Deep, hands-on experience with medical and pharmacy (Rx) healthcare claims data for cost and utilization analysis.
- Deep expertise in causal inference including matched cohort design, risk adjustment, and quasi-experimental methods.
- Direct experience presenting and defending ROI methodology with payers, actuaries, or technical external audiences.
- Understanding of value-based care arrangements.
- Hands-on data analysis capability using SQL, R, or Python.
- Familiarity with AI-native tooling such as Claude Code to accelerate analysis.
- Excellent written and verbal communication skills for technical and non-technical audiences.
- Advanced degree or actuarial credentials (ASA, FSA, MAAA) are a plus.
Responsibilities
- Own how we measure clinical outcomes across client member populations including weight loss, A1c, blood pressure, food insecurity, and HEDIS measures.
- Own Foodsmart’s ROI methodology, translating clinical outcomes into economic value and identifying high-impact member populations.
- Represent and defend ROI methodologies directly to payers and external actuarial or consulting firms.
- Own the analytical substance of the value story presented to clients, grounded in their specific members' outcomes.
- Shape value-based care strategy, including targeting member populations and establishing credible performance commitments.
- Build a scalable outcomes and ROI methodology system for new populations and clients.
- Partner on peer-reviewed research with academic collaborators.
- Translate data findings into clinical care delivery practices.
- Lead, develop, and mentor a small analytics team while remaining hands-on with complex analytical work.
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