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. Product Strategy & Stakeholder Management • 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 Foundational, Predictive & Performance Analytics • 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. Data Stewardship & Collaboration • 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. Collaboration & Communication • 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 • 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). Preferred Qualifications • Master's degree (e.g., MPH, MS in Data Science, Health Informatics, or Applied Analytics). Additional Information Compensation and Benefits: The projected base salary for this position ranges from $151,500 - $187,000 depending on experience and qualifications. This role is also eligible for comprehensive benefits package, including wellness programs and retirement savings. Join Us! If you are passionate about improving healthcare through innovative solutions and want to make a meaningful impact, we encourage you to apply.