Sr. Director, Healthcare Analytics

Alignment Health

Senior Director leading causal healthcare analytics for Alignment Health’s senior-care programs. Evaluating clinical, operational, and benefit interventions to quantify ROI, savings, and quality outcomes.

Posted 8/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $172,364 - $258,547 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in program evaluation and causal analytics within healthcare, utilizing advanced statistical methods and data analysis to drive operational and financial decisions. Proficient in translating complex findings into actionable insights for executive leadership.

Highest-signal resume keywords

Healthcare AnalyticsCausal Inference EvaluationsStatistical ModelingSQLPeople Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Causal Inference MethodsPropensity Score MethodsDifference-in-DifferencesStatistical AnalysisCohort ConstructionOutcome MeasurementData ValidationAdvanced Economic AnalysisRPython

Soft Skills

CommunicationLeadershipCollaborationCoachingMentoring

Tools & Technologies

SQLRPythonDashboardsEvaluation Pipelines

Certifications & Qualifications

Actuarial CredentialAdvanced Degree

Industry Keywords

Healthcare FinancingValue-Based CareMedicare AdvantageProgram EvaluationOperational KPIs

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Build and lead the organization’s program evaluation and causal analytics capability
Own end-to-end evaluation strategy for priority clinical, operational, and benefit interventions
Select study designs, define cohorts and outcomes, establish measurement windows, and develop analytic plans
Design and execute causal inference evaluations using propensity score methods and difference-in-differences
Establish and maintain an evaluation playbook with standardized templates, attribution rules, risk adjustment, and reporting conventions
Quantify intervention impact across cost, utilization, quality, savings, ROI, and operational KPIs
Partner with clinical and operational leaders to establish measurement standards and assess evaluation feasibility
Support cross-functional governance of metric definitions and analytic standards
Translate causal and statistical findings into executive narratives and recommended actions
Work with medical/pharmacy claims, enrollment, provider, and operational data to validate assumptions and ensure analytic integrity
Promote data quality, reproducibility, transparent code, documentation, and version control
Develop 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 oversee advanced economic and statistical analyses when appropriate
Recruit, select, orient, train, assign, monitor, appraise, coach, counsel, and discipline assigned staff

Requirements

What you’ll need

10+ years of experience in healthcare analytics, actuarial science, medical economics, statistics/econometrics, or a closely related quantitative field, with significant experience evaluating healthcare interventions
6+ years of people leadership and/or matrix leadership experience
Track record delivering credible program evaluation results used for operational and financial decisions
Bachelor’s degree in a quantitative field
Propensity score methods: matching/weighting, overlap/common support, sensitivity checks
Difference-in-differences: model specification, parallel trends testing, event-study interpretation, and communicating limitations
Strong command of statistical modeling and inference
Advanced proficiency with healthcare data, including medical/pharmacy claims, enrollment, provider, utilization/authorization feeds, cohort construction, and outcome measurement
SQL required
R or Python strongly preferred
Understanding of healthcare financing and value-based care measurement
Ability to connect evaluation outcomes to ROI, affordability, quality, and operational performance
Experience establishing governance and standardization across teams
Advanced degree preferred
Actuarial credential preferred
Experience with demand modeling, panel/longitudinal methods, and/or survival/time-to-event analysis desired but not required
Experience evaluating programs in Medicare Advantage and/or familiarity with MA performance drivers desired

Benefits

Comp & perks

Remote work
Reasonable accommodations under the Americans with Disabilities Act (ADA)
Equal Employment Opportunity and Affirmative Action
Opportunities for growth and innovation