Job Summary 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. Key Responsibilities • 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. Required Qualifications • 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. • Bachelor's 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.