Senior Director, Health Economics – Actuarial Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of measuring clinical outcomes for client member populations, such as weight loss, A1c, blood pressure, food insecurity, HEDIS measures, and client quality metrics.

• Manage Foodsmart’s ROI methodology by converting clinical outcomes into economic value and identifying which member populations gain the most benefit.

• Advocate for the methodology directly to payers and external actuarial and consulting firms.

• Lead the analytical content of client value stories, focusing on members’ outcomes rather than generic benchmarks.

• Contribute to the development of value-based care strategy, including targeting member populations and establishing credible performance commitments.

• Create scalable outcomes and ROI methodologies for new populations and client discussions.

• Collaborate on peer-reviewed research with academic partners.

• Work alongside the clinical team to translate findings and best practices into care delivery.

• Lead and mentor a small team while remaining actively involved in research and methodology.

• Utilize AI and other tools to enhance analysis and expand team capabilities.

• Report directly to the VP of Analytics & Data Science.

⛳️ Requirements

• A background in health economics, actuarial science, or a closely related quantitative field, with demonstrated application to healthcare cost and value issues.

• Experience in demonstrating ROI and value within a telehealth or digital health organization, or a foundation in the payer or consulting domains followed by experience in digital health.

• Practical experience in measuring clinical outcomes and quality across populations, including familiarity with HEDIS and prevalent chronic condition measures.

• Extensive hands-on experience with healthcare claims data, both medical and pharmacy (Rx), including the practicalities of utilizing it for cost and utilization analysis.

• In-depth expertise in causal inference as it pertains to healthcare costs and outcomes: matched cohort design, risk adjustment, and quasi-experimental methodologies.

• Direct experience in presenting and defending ROI methodologies to payers, actuaries, or similarly technical external audiences.

• Experience with value-based care arrangements and a perspective on what a provider or vendor can realistically commit to.

• Experience collaborating with clinical or care delivery teams to apply findings in practice.

• Proficiency in working directly with data (SQL, R, or Python) to perform your own analyses.

• Familiarity with AI-native tools (Claude Code or equivalent) to expedite analysis.

• Exceptional written and verbal communication skills, with the ability to write for both technical and non-technical audiences.

• An advanced degree or actuarial credentials (ASA, FSA, MAAA) are advantageous but not mandatory.

🏝️ Benefits

• Remote-First Company

• Unlimited PTO

• Flexible & remote location

• Healthcare Coverage (Medical, Dental, Vision)

• 401k & bonus

• Registered Dietitian Sessions