Sr. Director - Enterprise AI Enablement

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 Ohio Health. In alignment with the Ohio Health 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 Ohio Health 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 Ohio Health’s AI ecosystem from pilots to trusted, enterprise ready capabilities.

• Enterprise AI Enablement Strategy:
  Lead execution of the enterprise AI enablement strategy, translating Ohio Health 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 & Enablement:
  Lead 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 & Platforms:
  Partner 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 Adoption:
  Own the enterprise intake and prioritization process for AI use cases, including criteria, governance routing, and readiness expectations.
• Partner with clinical and operational leaders to define business outcomes, readiness requirements, adoption measures, and accountability for…