Analytics Product Manager

Risant Health, a nonprofit affiliate of Kaiser Foundation Hospitals, is transforming healthcare by accelerating the adoption of value-based care across community health systems. Headquartered in the Washington, DC area, Risant Health partners with nonprofit, community-based systems-starting with Geisinger-to expand access to care that prioritizes health outcomes and affordability.

Backed by nearly 80 years of Kaiser Permanente’s value-based care expertise, Risant Health operates independently to support its portfolio of health systems with shared resources, strategic guidance, and operational support-while preserving their community roots.

The Data & Analytics team turns complex health and financial data into clear, actionable intelligence that drives strategic, operational and clinical decision-making across Risant’s portfolio. In this role, you’ll use structured and unstructured data sources to deliver high-quality analytics aligned with key business priorities - evaluating programs, surfacing high-ROI opportunities, and creating advanced analytics solutions. The team provides strategic guidance, fosters cross-functional collaboration, and ensures excellence across every engagement-driving innovation, efficiency, and quality in healthcare delivery.

The Analytics Product Manager translates value-based care product goals into actionable analytics that drive measurable clinical and financial outcomes. This role bridges stakeholders, analytics teams, and product leadership to deliver user-centered, data-driven solutions that optimize product performance, adoption, and continuous improvement.

Principal Duties and Responsibilities

• Own vision, roadmap, and backlog to deliver analytics products and results for Risant's VBP solutions
• Serve as primary liaison between analytics team and VBP product owners, RHO clinical/operational leaders, and internal technical teams and leadership
• Conduct regular user feedback sessions, adoption reviews, and value realization assessments to identify enhancement opportunities and measure product impact
• Partner with VBP leadership to ensure analytics support new product development and vision throughout the SDLC process
• Medical Cost Analytics: Build and evolve analytic capabilities that pinpoint cost drivers, impactable populations, and high-ROI opportunities for VBP Solutions Program & Platform Evaluation: Monitor and evaluate the performance and impact of Risant’s value-based care platform solutions, quantifying how initiatives and products deliver measurable value. Develop methods to continuously assess program performance, sustainability, and system-wide impact.
• Core Analytic Assets: Develop and maintain foundational analytic tools including metrics, models, logic and enrichment engines to drive product delivery and impact across the portfolio
• Data Pipelines, Visualizations & Business Artifacts: Scope and design analytic pipelines, dashboards, and evaluation templates that make insights transparent, repeatable, and actionable. Build visualizations and reports that communicate value to leaders in clinical, operational, and financial domains.
• Contribute analytic templates, metric definitions, views and insights to the Risant Collaborative to drive shared learning and collective performance improvement.
• Implement automated data-quality checks and maintain clear documentation to ensure traceability and reliability of results.
• Maintain and approve semantic layers and analytic datasets that underpin enterprise reporting and insight generation.
• Work closely with cross-functional teams to ensure analytics translate into real-world decisions and measurable results.
• Present findings through concise narratives and visualizations that clearly connect data to value.
• Promote a culture of agile analytics, experimentation, and continuous improvement within the team and partner organizations

Required Qualifications: Technical and Interpersonal Competencies

• Experience developing in cloud-based data ecosystems and analytics pipelines (such as Azure, AWS, Google Cloud, Synapse, Databricks, Delta Lake) integrating claims, clinical, and unstructured data sources.
• Ability to create clear, high-impact visual summaries in modern visualization tools (e.g., Power BI).
• Understanding of key healthcare payment models and metrics (TCOC, attribution, risk adjustment, utilization).
• Familiarity with agile analytic delivery methods (sprints, backlog management, iterative delivery).

Required Qualifications: Education and Experience

• Education: Minimum formal education required, including degree level (e.g. Bachelor’s) and type/field (e.g. business, healthcare, etc.)
• Bachelor's degree required in Data Science, Health Economics, Computer Science, Biostatistics, or a related quantitative or healthcare analytics field.
• Five (5) years in healthcare analytics, health economics, or program evaluation, ideally within a payer, provider, or value-based care organization.
• Supervisory/Management Experience: Minimum years of supervisory/management experience required
• Certification and/or Licensure: Required certifications or licensures
• Demonstrated experience using claims, administrative, and unstructured data sources to evaluate program performance, cost of care, and ROI

Preferred Qualifications: Education and Experience

Master’s degree (e.g., MPH, MS in Data Science, Health Informatics, or Applied Analytics).

Compensation and Benefits: The projected base salary for this position ranges from $156,000 to $187,200 depending on experience and qualifications. This role is also eligible for incentive compensation and a comprehensive benefits package, including wellness programs, retirement savings, and relocation support as applicable.

Join Us! If you are passionate about improving healthcare through innovative solutions and want to make a meaningful impact, we encourage you to apply. Risant Health is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences. All your information will be kept confidential according to EEO guidelines.