Executive Director, Center for AIDE
Position Type: Admin/Professional
Department: Center for AIDE
Full or Part Time: Full Time
Pay Grade: MN18
Summary: This is a high-impact joint appointment leadership role responsible for translating vision into execution for the center focused on advancing human-centered artificial intelligence in healthcare. The Executive Director will build and lead a multidisciplinary team, establish core operations and infrastructure, and drive the development and deployment of AI solutions across clinical application workflow integration, research & discovery, education, and innovation & industry engagement.
The Executive Director will operate at the intersection of healthcare delivery, academic research, and technological innovation, serving as the primary integrator across UH and NEOMED stakeholders, and as the external face of AIDE (Artificial Intelligence and Digital Experience) to partners, industry, and the broader AI ecosystem.
Principal Functional Responsibilities
Strategic Leadership & Execution
- Translate AIDE’s vision into a clear, actionable strategy with measurable outcomes
- Identify, prioritize, and build a portfolio of high-impact AI initiatives
- Drive execution from concept through deployment
- Establish AIDE as a national leader in applied, ethical, and scalable healthcare AI
Organizational Build & Operational Leadership
- Stand up AIDE’s operating model
- Recruit, build, and lead a high-performing, multidisciplinary team (up to 15 FTE)
- Oversee budget (~$5-6M annually)
AI Innovation, Translation & Deployment
- Oversee development, validation, and deployment of AI/ML/DL solutions
- Ensure solutions are scalable, secure, and aligned with regulatory and ethical standards
Partnership Development & External Engagement
- Build and manage strategic partnerships with industry, technology companies, startups, and peer institutions
Governance, Trust & Responsible AI
- Establish and operationalize governance frameworks for AI use
Education, Workforce & Culture
- Partner with UH and NEOMED leadership to advance AI education, training, and workforce development
Qualifications
- Advanced degree in a relevant field
- Minimum 10 years of progressively responsible leadership experience in AI, data science, digital health, or related fields
- Demonstrated experience developing and deploying AI/ML/DL solutions in real-world environments
Preferred Qualifications
- Terminal degree
- Experience in an academic medical center, health system, or similarly complex environment
- Track record of building or scaling programs, centers, or innovation initiatives
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