Sr. Director, Healthcare Analytics
A
Alignment HealthHealthcare Analytics
United StatesFull-TimeDirector
Salary172,364 - 258,547 USD per year
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Job Details
- Experience
- 10+ years of experience in healthcare analytics, actuarial science, medical economics, statistics/econometrics, or a closely related quantitative field; 6+ years of people leadership.
- Required Skills
- PythonSQLR
Requirements
- 10+ years of experience in healthcare analytics, actuarial science, medical economics, or statistics/econometrics.
- 6+ years of people or matrix leadership experience.
- Demonstrated track record of delivering program evaluation results that influence financial or operational decisions.
- Advanced proficiency in propensity score methods (matching, weighting, stratification, sensitivity analyses).
- Advanced proficiency in difference-in-differences (parallel trends testing, event-study interpretation).
- Expertise in healthcare data (medical/pharmacy claims, enrollment, provider data).
- Strong command of SQL and proficiency in R or Python for production-quality analytic code.
- Deep understanding of healthcare financing, value-based care, and Medicare Advantage performance drivers.
- Strong executive communication skills with the ability to distill complex data into clear recommendations.
- Bachelor’s degree in a quantitative field (e.g., Actuarial Science, Statistics, Economics).
- Advanced degree (MS/PhD in Statistics, Biostatistics, Economics, or Public Health) is preferred.
- Actuarial credential (ASA/FSA) or equivalent quantitative mastery is preferred.
Responsibilities
- Own the end-to-end evaluation strategy for priority interventions, including study design and analytic plans.
- Design and execute causal inference evaluations using propensity score methods and difference-in-differences.
- Establish and maintain an evaluation playbook for standardized research, reporting, and attribution rules.
- Quantify intervention impact across cost, utilization, quality, and operational KPIs.
- Partner with clinical and operational leaders to set standards for program measurement and feasibility.
- Govern metric definitions and analytic standards across IT, Finance, Clinical, and Operations teams.
- Translate statistical findings into clear executive narratives and actionable recommendations.
- Provide methodological guidance on power analysis, confounding, and risk adjustment.
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