• Design, build, and maintain sophisticated predictive models using Python, SQL and AI Foundry • Apply machine learning techniques (e.g., gradient boosting, random forests, time-series modeling) to forecast outcomes and support proactive clinical interventions. • Validate, monitor, and refine predictive models for performance and reliability. • Conduct detailed analyses of utilization, cost patterns, quality outcomes, and value‑based care program performance. • Evaluate the impact of clinical programs, pilots, and interventions using rigorous statistical methods. • Deliver insights that improve total cost of care, reduce avoidable utilization, and enhance patient outcomes. • Develop and optimize analytical datasets using SQL and Python. • Build clean, user-friendly Power BI dashboards to communicate insights to market leadership, clinicians, and executives. • Ensure consistent data standards, documentation, and governance. • Use AI Foundry and other platforms to automate reporting, enhance data pipelines, and accelerate decision‑making. • Prototype AI-driven solutions that scale predictive intelligence across the organization. • Partner with clinical, operational, and finance teams to translate analytical findings into actionable strategies. • Identify gaps, risks, and opportunities—then help design data‑driven solutions to improve outcomes and operational performance. • Present insights in a clear, compelling manner tailored to diverse audiences.