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. The 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. The director is the enterprise enablement leader for the AI program, ensuring AI capabilities delivered by Technology and Digital teams are prioritized, adopted, governed, and embedded into clinical and operational practice.
Responsibilities and Duties
- Enterprise AI Enablement Strategy : Lead 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; establish and maintain enterprise operating standards.
- Federated Operating Model & Enablement : Lead the central Enterprise AI Enablement function through subordinate managers; provide leadership and coordination across distributed AI and analytics leaders; establish scalable support structures and decision rights.
- Partnership with Technology Delivery & Platforms : Partner with Technology Delivery, Data Engineering, AI Platform, Epic, and Digital leaders to align priorities and production readiness; serve as the coordination point between use‑case demand and technical delivery.
- Use Case Intake, Prioritization, and Adoption : Own intake and prioritization process; partner with clinical and operational leaders to define business outcomes; ensure AI capabilities embedded into workflows.
- Governance, Trust, and Responsible AI : Lead support for enterprise AI governance bodies; ensure alignment with security, privacy, compliance, and responsible AI requirements; promote transparency around model purpose and limitations.
- AI Literacy and Capability Development : Build enterprise AI literacy; deploy scalable education, guidance, and reference patterns; support development of capability and talent pathways.
- Executive Enablement and Communication : Partner with senior leaders and physicians; provide reporting on adoption, maturity, risks, and value; translate technical progress into business insights.
- Information Security : Maintain confidentiality; ensure compliance with information security and privacy policies; report incidents promptly.
Success Measures
- Enterprise adoption of prioritized AI capabilities.
- Clear alignment between AI delivery and business outcomes.
- Trusted, repeatable governance and enablement practices.
- Reduced duplication and uncontrolled AI sprawl.
- Increased confidence and fluency in AI‑enabled decision‑making.
Minimum Qualifications
- Bachelor’s degree required; Master’s degree or equivalent experience preferred.
- 10+ years of progressive experience in healthcare technology, analytics, digital enablement, or large‑scale operational improvement.
- 5+ years of experience leading managers and/or multiple related teams with accountability for enterprise initiatives spanning business units and technical teams.
- Demonstrated experience enabling adoption of advanced technology capabilities such as AI, analytics, automation, or digital platforms.
- Proven success operating in matrixed environments using influence rather than direct authority.
- Minimum 3‑year commitment to the role.
Specialized Knowledge
- Strong working knowledge of AI concepts and solution patterns, including predictive analytics, generative AI, decision support, and automation.
- Proven experience driving change across operational organizations with expertise in change management.
- Strong understanding of emerging technologies with established relationships in startup communities.
- Experience enabling responsible and scalable AI adoption in healthcare or regulated environments.
- Understanding of federated enablement models, communities of practice, and enterprise standards.
- Familiarity with healthcare operations and AI use cases across clinical care, access, revenue cycle, operations, and experience.
- Practical understanding of AI governance, security, privacy, and compliance considerations.
- Ability to translate complex technical capabilities into understandable, actionable concepts for leaders and frontline teams.
Desired Attributes
- Experienced people leader who develops leaders, drives adoption, and creates clarity and consistency across multiple teams.
- Pragmatic, systems‑thinking mindset focused on reuse and scale.
- Strong collaborator across technology delivery and business teams.
- Comfortable navigating ambiguity and rapidly evolving AI capabilities.
- Clear, credible communicator with executives, clinicians, and technologists.
Work Shift: Day
Scheduled Weekly Hours: 40
Equal Employment Opportunity
OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all persons in all aspects of the associate‑employer relationship, including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment.
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