Director, Medical Economics

The Director of Medical Economics provides rigorous analytical support for evaluating value-based care impact across clinical financial operational quality utilization patient experience and health-equity outcomes. The role translates strategic priorities into analytical workplans develops and executes healthcare analyses and delivers clear reliable findings to support strategic decision-making and demonstrate measurable impact.

• Translate strategic priorities into analytical plans data requirements metrics and evidence frameworks.
• Develop and execute analyses of clinical financial operational quality utilization patient experience and health-equity performance.
• Apply attribution risk adjustment benchmarking trend analysis cohort comparison and program evaluation methods.
• Apply causal inference and quasi-experimental study designs to evaluate healthcare interventions.
• Identify and quantify key drivers of cost utilization quality clinical outcomes and other performance measures.
• Develop recurring measurement approaches for consistent impact evaluation.
• Prepare analytical exhibits reports summaries and supporting materials for technical and non-technical stakeholders.
• Clearly communicate analytical findings methodological assumptions limitations and confidence in conclusions.
• Collaborate with actuarial clinical finance operations product network growth and data teams.
• Maintain analytical workplans documentation governance and reusable measurement standards.
• Respond to ad hoc analytical questions and provide timely decision-ready analyses.
• Ensure analyses are rigorous reproducible well-documented and aligned with strategic objectives.

• 7 years of progressive experience in medical economics healthcare analytics actuarial analysis outcomes research population health value-based care or a related field.
• Strong understanding of value-based care programs and healthcare claims clinical financial quality and operational data.
• Experience with relational databases and statistical programming.
• Experience evaluating healthcare interventions using comparative longitudinal or other rigorous evaluation methods.
• Strong knowledge of causal inference and quasi-experimental study design.
• Experience with attribution risk adjustment benchmarking trend analysis program evaluation and financial impact measurement.
• Strong analytical methodological and problem-solving skills.
• Ability to explain complex analytical methods and findings to technical and non-technical audiences.
• Experience collaborating across clinical actuarial finance analytics operations product network or commercial teams.
• Bachelors degree in economics statistics mathematics public health health services research actuarial science business data science or a related discipline.
• Experience with Medicaid managed care is preferred.