Director, AI & Automation
Core
Leads operational execution, portfolio oversight, governance, and data integration strategy for AI & Automation across University of Rochester Medicine.
Role type
Director, AI & Automation (Strategy & Operations)
Builds
AI portfolio governance, technical architecture, data integration pipelines, and vendor-managed AI solutions for clinical and operational systems.
Domain
Healthcare (University Medicine) + Artificial Intelligence & Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
AI portfolio governance, enterprise data integration, vendor technical evaluation, cross-functional stakeholder management, data readiness assessment, technical architecture design, executive reporting
Preferred skills
Experience with Epic integration, data use agreement development, AI lifecycle management, strategic investment prioritization
Technologies
Epic, enterprise data platforms, AI vendor tools
Responsibilities
Establish enterprise governance processes for AI portfolio prioritization, intake, and lifecycle management; Lead identification, acquisition, and integration of data for AI initiatives; Serve as primary technical point of contact for vendors and internal build partners; Provide day-to-day guidance to assigned staff and represent the pillar in senior stakeholder conversations.
