Leofric Oakhurst-Nyamekye

Lead a 140-person data organization (engineering, governance, analytics, data science) with a $38M annual budget, reporting to the CEO and the board's quality committee. Moved 9 legacy warehouses into one Snowflake and dbt lakehouse in 20 months; cut infrastructure cost 31% and report refresh time from 26 hours to 40 minutes. Launched an enterprise data governance program (Collibra catalog, 1,200 certified data elements, 64 data stewards) that closed every HIPAA audit item in two cycles. Shipped sepsis-risk and readmission models now live in Epic for 11 hospitals; 30-day readmissions fell 14% and early sepsis bundles rose 22%. Built a payer-contract analytics team that found $27M in underpayments over 3 years. Chair the Responsible AI Council that reviews every clinical and operational model for bias, drift, and explainability before go-live.

Ran a 55-person analytics and BI group serving finance, care management, and Stars quality teams. Built risk-adjustment and care-gap dashboards in Power BI used by 900+ staff; helped lift the plan from 3.5 to 4.5 Medicare Stars in three years. Led a fraud, waste, and abuse analytics program that recovered $11.4M in its first 18 months. Replaced a 400-report legacy catalog with 60 governed self-service datasets; ad-hoc request volume fell 45%.

Stood up the group's first data warehouse (SQL Server, SSIS) pulling from Epic, Cerner, and three billing systems. Built provider productivity and RVU scorecards that underpinned a new physician compensation model for 420 clinicians. Grew the team from 4 to 19 engineers and analysts; 5 of them later became managers.

Analyzed disease surveillance and vital records data; produced the county's annual community health assessment. Automated weekly flu and H1N1 reporting with SAS and SQL, cutting turnaround from 3 days to 4 hours.