Analytics Product Manager at Risant Health | Washington, USA | Rezi

Analytics Product Manager at Risant Health

Analytics Product Manager

Risant Health · Washington, USA

1 months ago

Analytics Product Manager

Risant Health · Washington, USA

a month ago
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About the Role

The Data & Analytics team turns complex health and financial data into clear, actionable intelligence that drives strategic, operational and clinical decision-making across Risant Health’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.

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
  • Build and evolve analytic capabilities that pinpoint cost drivers, impactable populations, and high-ROI opportunities for VBP Solutions
  • 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.
  • Develop and maintain foundational analytic tools including metrics, models, logic and enrichment engines to drive product delivery and impact across the portfolio
  • 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.

Requirements

  • 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.
  • Demonstrated experience using claims, administrative, and unstructured data sources to evaluate program performance, cost of care, and ROI.
  • 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).
  • Master’s degree (e.g., MPH, MS in Data Science, Health Informatics, or Applied Analytics).

Skills

  • Data Science
  • Health Economics
  • Computer Science
  • Biostatistics
  • Healthcare Analytics
  • Program Evaluation
  • Value-based Care
  • Cloud-based data ecosystems
  • Analytics pipelines
  • Azure
  • AWS
  • Google Cloud
  • Synapse
  • Databricks
  • Delta Lake
  • Power BI
  • Agile analytic delivery methods

Location

  • Washington, DC area

Work Type

  • Full-time

Experience Level

  • 5 years in healthcare analytics, health economics, or program evaluation

Education Level

  • Bachelor's degree in Data Science, Health Economics, Computer Science, Biostatistics, or a related quantitative or healthcare analytics field
  • Master’s degree (e.g., MPH, MS in Data Science, Health Informatics, or Applied Analytics)

About the Company

  • 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.

Equal Opportunity

  • 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.