You will provide day-to-day delivery leadership (scope, schedule, staffing, risk, and quality), guide multidisciplinary teams (data science, data engineering, analytics, and UX/visualization), identify and support capture of new business, and ensure solutions are secure, scalable, and adopted in the client's operating cadence. Lead end-to-end delivery of multiple concurrent AI, data science (including qualitative/qualitative scientific support), and data product engagements, ensuring on-time, high-quality outcomes across public and commercial health workstreams, vendors, and client teams.