About the Job

The Director for Artificial Intelligence is a key member of the Information Technology leadership team, serving as the University’s senior IT leader responsible for advancing enterprise AI offerings. In strong partnership with the Vice Provost for Artificial Intelligence, who provides institution-wide academic and strategic leadership, this role translates the University’s AI vision into actionable IT strategy and execution. Reporting to the Vice President for Information Technology and CIO, this role leads the development, delivery, and scaling of AI technology services, platforms, and infrastructure that support the diverse needs of colleges, campuses, and administrative units.

Reports To: Vice President and Chief Information Officer (VP/CIO)
Work Modality: Hybrid; candidates must be located near a University of Minnesota campus, or be open to relocation.

Leadership & Vision

• Partner with AI Hub leadership to operationalize strategy, translating research, innovation, and academic direction into scalable IT service offerings that align with institutional mission and long‑term goals.

Governance, Policy & Ethical Stewardship

• Lead the enterprise technology aspect of the University AI governance framework, ensuring transparency, accountability, and ethical use across the university.

Innovation, Use Case Development & Capability Building

• Support the University’s AI innovation pipeline, including ideation, prioritization, and execution of high‑value AI initiatives.

Responsible Deployment

• Drive appropriate risk acceptance, articulating risks of non-action.

Qualifications

Required Qualifications: BA/BS Degree plus at least 12 years of generally relevant experience (can be non-AI experience), or master’s degree plus 10 years of experience (can be non-AI experience). Leadership experience, including strategic planning and operational oversight. Strong technical knowledge of artificial intelligence, including machine learning, generative AI, large language models (LLMs), natural language processing, automation, and AI-enabled platforms.