• Set and execute the Primary Care analytics strategy aligned to clinical quality, patient experience, growth, and financial goals, translating data into clear strategic direction for executive and key leaders. • Lead a high-performing team spanning BI engineering, data product management, and clinical/operational reporting, fostering a culture of clarity, accountability and business centered problem solving. • Establish a modern analytics operating model (product-centric, value-based roadmaps, agile delivery, and service-level commitments), grounded in business relevance, usability, and decision impact. • Inspire and develop talent that can move across the broader organization • Serve as analytics executive partner to Primary Care Leadership, Broader CenterWell leadership, and key enterprise partners, providing strategic clarity, and data informed guidance. • Convert business priorities into analytics roadmaps with measurable outcomes and clear accountability, ensuring focus on meaningful insights. • Champion adoption via training, office hours, field roadshows, and “voice of the user” feedback loops, building trust, credibility and strong relationships across key leadership. • Co-own the central Primary Care data model with enterprise IT and analytics partners • Drive and mature data governance and Set/monitor data quality SLAs (completeness, timeliness, accuracy, conformance). • Own enterprise-grade BI for Primary Care: standard definitions, certified datasets, KPI hierarchy, and role-based dashboards for field operations, clinical leaders, and executives • Scale usage and effectiveness of BI through enablement, data literacy, and embedded workflows • Mature metric stewardship and change control processes • Prioritize and deliver high-value use cases: panel optimization, risk stratification, care gap closure, HCC accuracy, care management targeting, no-show reduction, throughput optimization, capacity planning, and referral optimization. • Partner with clinical leaders to operationalize insights at point of care and in practice workflows. • Evaluate and deploy AI responsibly in partnership with central support teams at CenterWell (e.g., propensity models, forecasting, NLP on clinical notes) with model governance, bias monitoring, and ROI tracking.