• Partner with Clinical Quality Program Managers and collaborate with engineering, product, analytics, and commercial teams to align on priorities, evaluate trade-offs, and deliver actionable insights. • Oversee the development of dashboards and visualizations that communicate the impact of clinical programs on health outcomes and operational efficiency. • Identify and refine performance metrics that align with strategic goals and demonstrate program value to members and stakeholders. • Champion the adoption of self-service analytics among care teams and stakeholders, enabling data-informed decision-making and innovative strategies to improve member outcomes. • Lead analytical efforts to support healthcare accreditation submissions (e.g., NCQA, DPP, URAC) and ensure ongoing compliance with quality standards. • Apply statistical methods and machine learning models to identify patterns, correlations, and predictive insights for personalized care and patient risk stratification. • Serve as a liaison between Omada’s data enablement “hub” and the Clinical Quality “spoke” team, ensuring timely delivery of high-quality analytics to support organizational impact. Recommend refinements to processes and establish procedures that improve efficiency across teams.