Director of Data Analytics & Outcomes Research

Nadia Care is seeking an experienced Director of Data Analytics & Outcomes Research to build and lead the function that translates data into actionable insights for member retention, clinical outcomes, and payer client decisions.

The role involves owning analytics from data architecture to outcomes measurement and client-facing reporting. You will partner closely with Engineering on technical implementation and with Product on delivering reporting and outcomes to end users.

You will lead a small, growing team (data science, data analytics, and health economics/outcomes research) and ensure their output translates into decisions the business and clients can act on—not just dashboards and reports.

You are fluent in AI as a practitioner.

Responsibilities:

• Data architecture: Define the conceptual structure of our data—entity relationships, table design, key attributes, and reporting structure.
• Outcomes measurement: Build and maintain the analytical framework identifying drivers of clinical outcomes, retention, and Nadia Care’s ROI model for payers, translating it into actionable recommendations.
• Health economics and outcomes research (HEOR): Produce clinical and cost evidence demonstrating program value to payer clients and members.
• Analyses, inquiries, accuracy: Ensure all data analyses are accurate, consistent, and repeatable across contracts/markets.
• Governance: Define metric definitions, data limitations, and guardrails for consistent dashboards and reporting across the organization.
• Collaborative People Leader: Build, manage, and develop a team of data scientists, analysts, and outcomes research specialists. Influence and collaborate across the organization as a key member of the Senior Leadership Team.

Qualifications:

• 8–12+ years of experience in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team.
• Expert-level experience with statistical tools for economic and statistical analyses, presentation, and visualization, including R, Python, SQL, SAS, Excel/Google Sheets, and Tableau.
• Prior experience at a healthcare services company—ideally value-based care, payer-facing, or managing outcomes-based contracts.
• Demonstrated ability to translate data into actionable recommendations—not just descriptive reporting, but a defensible perspective on what to do next.
• Expertise in data modeling (entity relationships, table layouts, metric definitions) and experience supporting CEO, COO, and other executive leaders in a healthcare services company, with close collaboration with engineering teams on technical implementation.
• Expertise in health economics, statistics, biostatistics, epidemiology, comparative effectiveness, or real-world evidence methodology.
• Comfortable operating in a fast-paced, early-stage environment with a lean, dynamic team that can develop and pivot as needed.
• Excellent oral and written communication skills—able to represent data and outcomes credibly to internal leadership and external payer stakeholders.
• Own the development of white papers, presentations, and impact briefs communicating clinical and cost evidence to payer clients and internal leadership.
• Qualifications: PhD with 7–10 years of relevant experience, or Master’s with 8–12 years, in data analytics, data science, or health economics/outcomes research, including people management experience.