Sr. Director, Healthcare Analytics

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

📋 Description

• Develop and direct the organization’s program evaluation and causal analytics capabilities.

• Own the comprehensive evaluation strategy for key clinical, operational, and benefit interventions.

• Select appropriate study designs, define cohorts and outcomes, set measurement windows, and create analytic plans.

• Design and implement causal inference evaluations utilizing propensity score methods and difference-in-differences techniques.

• Create and sustain an evaluation playbook that includes standardized templates, attribution rules, risk adjustment, and reporting conventions.

• Measure intervention impact across cost, utilization, quality, savings, ROI, and operational KPIs.

• Collaborate with clinical and operational leaders to define measurement standards and evaluate the feasibility of assessments.

• Support cross-functional governance regarding metric definitions and analytic standards.

• Translate causal and statistical insights into executive narratives and recommended actions.

• Utilize medical/pharmacy claims, enrollment, provider, and operational data to validate assumptions and ensure the integrity of analyses.

• Advocate for data quality, reproducibility, transparent coding practices, comprehensive documentation, and version control.

• Create reusable code modules, cohort builders, standardized outcome tables, dashboards, and evaluation pipelines.

• Provide methodological guidance on power, confounding, selection bias, regression-to-mean, contamination, risk adjustment, and segmentation.

• Apply or supervise advanced economic and statistical analyses as needed.

• Recruit, select, orient, train, assign, monitor, appraise, coach, counsel, and discipline team members.

⛳️ Requirements

• A minimum of 10 years of experience in healthcare analytics, actuarial science, medical economics, statistics/econometrics, or a closely related quantitative discipline, with substantial experience in evaluating healthcare interventions.

• At least 6 years of leadership experience, either in direct people management or matrix leadership.

• Proven track record of delivering credible program evaluation results that inform operational and financial decisions.

• Bachelor’s degree in a quantitative discipline.

• Proficiency in propensity score methods: matching/weighting, overlap/common support, and sensitivity analyses.

• Experience with difference-in-differences methods: model specification, parallel trends testing, event-study interpretation, and communicating limitations.

• Strong expertise in statistical modeling and inference.

• Advanced skills with healthcare data, including medical/pharmacy claims, enrollment, provider data, utilization/authorization feeds, cohort construction, and outcome measurement.

• Proficiency in SQL is required.

• Strong preference for experience in R or Python.

• Understanding of healthcare financing and value-based care metrics.

• Capability to link evaluation outcomes to ROI, affordability, quality, and operational performance.

• Experience in establishing governance and standardization across teams.

• An advanced degree is preferred.

• An actuarial credential is preferred.

• Experience with demand modeling, panel/longitudinal methods, and/or survival/time-to-event analysis is desired but not mandatory.

• Familiarity with evaluating programs in Medicare Advantage and knowledge of MA performance drivers is desired.

🏝️ Benefits

• Remote work opportunities.

• Reasonable accommodations under the Americans with Disabilities Act (ADA).

• Commitment to Equal Employment Opportunity and Affirmative Action.

• Opportunities for professional growth and innovation.