Teams at Leap (leaphealth.com)

Own the product direction, prioritization, and delivery of Leap’s data platform and integrations. Translate cross-functional needs into scoped projects, requirements, milestones, and acceptance criteria. Guide ingestion, data quality, provenance, reliability, and client integrations while partnering with engineering, analytics, implementation, security, and external technical teams. Investigate technical issues using SQL and data tooling, improve delivery processes, and establish scalable capabilities for onboarding clients and data sources.

Leads Leap’s data science and analytics function, developing patient intelligence, predictive models, population forecasts, impact measurement methods, and operational reporting. Partners across clinical, pharmacy, finance, product, engineering, and commercial teams to establish reliable metrics, quality controls, reproducible analytical methods, and self-service reporting. Builds the team, sets scientific direction, translates complex findings into business decisions, and embeds validated models into operational workflows.

Build and operate Leap’s post-sale client delivery engine. Responsibilities include designing scalable delivery processes, forecasting activation, savings, and revenue, automating client reporting with AI, defining analytics requirements, measuring lifecycle campaigns, supporting drug sourcing strategy, and identifying opportunities for client engagement and account expansion. The role partners closely with Sales, Operations, Analytics, Marketing, Pharmacy, and Growth Strategy teams.