Director, AI Programs

Rochester Regional Health

. Lead the organization’s artificial intelligence programs and translate enterprise priorities into a coordinated portfolio of AI initiatives .

Posted 10/13/2026full-timeRochester • New York • United StatesLead💰 $145,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading artificial intelligence programs, developing enterprise AI strategies, and managing cross-disciplinary collaboration in a healthcare environment. Proven ability to oversee AI governance, risk management, and value realization while engaging with diverse stakeholders.

Highest-signal resume keywords

AI Strategy DevelopmentGovernance Model ImplementationCross-Disciplinary CollaborationRisk Management PracticesHealthcare Program Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceData ScienceChange ManagementProgram OversightPortfolio ManagementCompliance WorkflowsStakeholder EngagementOutcome TrackingVendor EvaluationHealthcare Technology

Soft Skills

LeadershipCollaborationCommunicationTalent DevelopmentStrategic Thinking

Industry Keywords

HealthcareInnovationRisk ManagementRegulatory ComplianceOperational Oversight

About the role

Key responsibilities & impact

Lead the organization’s artificial intelligence programs and translate enterprise priorities into a coordinated portfolio of AI initiatives
Provide enterprise-wide leadership for AI strategy, governance, prioritization, implementation oversight, adoption, change management, risk management, and value realization
Partner with executive, clinical, operational, technology, privacy, security, compliance, legal, finance, and vendor stakeholders
Recruit, retain, develop, and recognize talent while fostering cross-disciplinary collaboration
Define enterprise AI strategy, roadmap, governance model, intake process, prioritization criteria, and value realization approach
Oversee AI portfolios across business domains, products, platforms, technical teams, and operational areas
Establish responsible AI review processes, risk management practices, compliance workflows, decision forums, and program controls
Coordinate AI delivery activities across technology, clinical, operational, data, security, privacy, compliance, legal, finance, vendor, and leadership stakeholders
Track outcomes, adoption, business, clinical, operational, and financial impact, risks, dependencies, and lessons learned
Lead vendor and platform evaluations, pilot planning, implementation readiness, scale decisions, and transition-to-operations planning
Prepare executive briefings, governance materials, board-ready updates, decision documents, and portfolio performance reports
Develop templates, playbooks, standards, communication materials, and operating model artifacts for responsible AI delivery
Support AI literacy, stakeholder engagement, change management, adoption planning, and capability-building efforts
Monitor healthcare AI trends, regulatory developments, platform capabilities, vendor landscape, and emerging risks
Represent AI priorities in enterprise strategy, innovation, technology, clinical governance, risk, and investment forums
Perform other duties as assigned

Requirements

What you’ll need

Bachelor's degree in Business, Health Administration, Information Technology, Computer Science, Engineering, Data Science, or related field required
7+ years of experience leading complex technology, innovation, AI, data, product, transformation, or healthcare programs required
Ability to work a full-time, day-shift schedule, Monday to Friday, 9 am–5 pm
Ability to meet sedentary, primarily office-based physical requirements
Some roles may require TB screening or a valid driver’s license
Must be able to work in a healthcare environment with potential occasional contact with infectious agents

Benefits

Comp & perks

Professional development support
Workplace well-being and workplace safety support
Flexible hours may be available based on role requirements
Eligible for additional pay components