• Partner with Clinical Transformation leadership and the Chief Population Health Officer to define core Clinical Services performance metrics across productivity, quality, ROI, clinical impact, and operational efficiency. • Design scalable, standardized reporting frameworks aligned with centralized analytics standards. • Develop KPI hierarchies spanning individual, team, service-line, and executive-level performance. • Ensure metrics align with financial performance, client outcomes, and overall service value. • Build and maintain dashboards and reporting tools that provide real-time operational visibility. • Partner with centralized Analytics and Data Engineering to ensure clean data pipelines and scalable architecture. • Reduce manual reporting through automation and systematization. • Create standardized reporting packages for internal leadership and customer-facing needs. • Develop standardized, scalable client reporting frameworks. • Support Services leadership in translating analytics into clear, client-ready narratives. • Ensure reporting is consistent, defensible, and automated wherever possible. • Identify opportunities to productize analytics deliverables. • Act as embedded liaison between Clinical Services and centralized Analytics teams. • Ensure alignment on metric definitions, governance, and data standards. • Collaborate with Product and Engineering when service workflows require new data capture or reporting capabilities. • Support analytics needs during new service launches and workflow redesigns. • Identify trends, bottlenecks, and optimization opportunities across service delivery. • Conduct deeper analyses to inform staffing models, pricing strategy, and operational efficiency. • Support scenario modeling and capacity forecasting. • Help build and evolve a data-driven operating model for Clinical Services.