Sr. Director - Enterprise AI Enablement

We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more – in our careers and in our communities.

Job Description Summary:

The Senior Director, Enterprise AI Enablement is an experienced people leader accountable for a major department or complex enterprise function that enables the successful adoption, scaling, and sustained value realization of artificial intelligence across OhioHealth. In alignment with the OhioHealth Management career framework M4 level, this role leads through subordinate managers, translates strategy into operational execution, and is accountable for priorities, operating plans, budgets, staffing approaches, quality, and compliance for the AI enablement portfolio.

This role serves as the enterprise enablement leader for the OhioHealth AI program, ensuring that AI capabilities delivered by Technology and Digital teams are prioritized appropriately, adopted consistently, governed responsibly, and embedded into clinical and operational practice. While technology delivery organizations remain accountable for building and operating AI platforms, models, and systems, this role is accountable for translating strategy into disciplined operational execution and measurable enterprise outcomes across multiple teams and stakeholder groups.

Operating within a broader Enablement organization, the role leads a federated model with a centralized AI enablement team and leadership through managers and dotted-line relationships across distributed teams embedded within service lines and functions. Through operating standards, governance, prioritization, and shared ways of working, the Senior Director aligns decentralized efforts
while preserving flexibility, accountability, and speed.

The role works in close partnership with Technology Delivery, Data & Analytics, Epic, Digital, Security, Clinical and Operational leaders to mature OhioHealth’s AI ecosystem from pilots to trusted, enterprise ready capabilities.

*This is a hybrid position in Columbus, OH.

Responsibilities And Duties:

Enterprise AI Enablement StrategyLead execution of the enterprise AI enablement strategy, translating OhioHealth priorities and the broader Technology and Digital roadmap into operating plans, priorities, and measurable outcomes
Direct operational execution of prioritized AI initiatives across clinical and operational settings to achieve adoption, workflow integration, and measurable business results
Establish and maintain enterprise operating standards for how AI initiatives are identified, prioritized, governed, adopted, and measured
Align enterprise demand, implementation sequencing, and delivery capacity to support disciplined execution against system priorities
Federated Operating Model & EnablementLead the central Enterprise AI Enablement function through subordinate managers, with accountability for team performance, staffing approaches, operating discipline, and the development of standards, playbooks, adoption patterns, and measurement
Provide leadership and coordination across distributed AI and analytics leaders in service lines and functions to ensure alignment with enterprise standards, priorities, and adoption expectations
Establish scalable support structures, change networks, and leadership routines that build local capability and sustain adoption across the system
Define decision rights, escalation paths, and shared operating practices between centralized and distributed teams
Sponsor enterprise communities of practice that strengthen capability, consistency, and knowledge sharing across AI-related teams

Partnership with Technology Delivery & PlatformsPartner with Technology Delivery, Data Engineering, AI Platform, Epic, and Digital leaders to align enablement priorities, implementation standards, and production readiness expectations
Serve as the enterprise coordination point between use-case demand and technical delivery, shaping sequencing, readiness, and adoption plans that support system priorities

Use Case Intake, Prioritization, and AdoptionOwn the enterprise intake and prioritization process for AI use cases, including criteria, governance routing, and readiness expectations<