Senior Director, Clinical Intelligence

You will

• Own Foodsmart’s ROI and clinical outcomes methodology: identifying which member populations we help the most, and quantifying the value we deliver for both members and payers.
• Represent that methodology directly to payers and external actuarial firms, defending our approach under real technical scrutiny, not just presenting a final number.
• Build our ROI and evidence methodology as a scalable system, one that extends to new populations and new payer conversations without being rebuilt from scratch each time.
• Own our clinical research agenda: turning our results into white papers, publications, and external research output that build Foodsmart’s credibility in the market.
• Partner with our clinical team to translate research findings and best practices into how care is actually delivered, closing the loop between evidence and practice.
• Serve as the internal expert on clinical outcomes, feeding that expertise into the broader external story Foodsmart tells clients and prospects, without owning that story yourself.
• Lead and develop a small team while staying hands-on with the core research and methodology work yourself, and lean on AI and other tooling to extend how much ground you and your team can cover.

You are

• A credentialed, seasoned expert who’s done this work repeatedly, not someone learning ROI methodology on the job.
• Comfortable being the technical counterpart to a payer’s own actuarial team: rigorous, unintimidated by scrutiny, and able to defend methodology choices in real time.
• A genuine researcher. You think in terms of evidence and publication-quality rigor, not just internal reporting.
• Able to translate deep technical findings into how care actually gets delivered, working hand in hand with clinical and care delivery teams.
• Someone who treats AI as a genuine lever on your own impact. You actively look for ways to use it to research faster, dig deeper, and produce more than your headcount would suggest, and you have a point of view on where it helps and where rigor still demands a human.
• A systems builder who thinks in terms of scale: a repeatable methodology, not a one-off analysis redone for every new client or payer.
• Comfortable leading a small team while staying personally hands-on with the hardest analytical work yourself.

You have

• Master’s degree required in health economics, biostatistics, epidemiology, economics, or a related quantitative field; PhD strongly preferred.
• Deep experience (12+ years) as a health economist or actuary, with a track record of building and defending ROI and value-based care methodology. 4+ years of team leadership experience.
• Genuine research experience, including published white papers or peer-reviewed work, not just internal analysis.
• Deep, hands-on expertise in causal inference (e.g., matched cohort design, risk adjustment, quasi-experimental methods) as applied to healthcare cost and outcomes.
• Deep, hands-on experience with healthcare claims data, both medical and pharmacy (Rx), including the practical realities of working with it for cost and utilization analysis.
• Direct experience presenting ROI and outcomes methodology to payers, actuaries, or similarly technical external audiences, and defending it under real scrutiny.
• Experience partnering with clinical or care delivery teams to translate research findings into practice.
• Comfort working directly with data (SQL, R, or Python) to conduct your own analysis. Experience building automation to scale your work through data modeling, AI tooling and dashboarding.
• Familiarity with AI-native tooling ( Claude Code or equivalent) as a way to accelerate research and analysis, though deep automation engineering is not the focus of this role.
• Excellent written and verbal communication skills, including the ability to write for external, technical, and non-technical audiences alike.