Executive Director, MIT AI Exchange

EXECUTIVE DIRECTOR, MIT AI EXCHANGE , Office of Innovation and Strategy , is the Exchange’s senior administrative leader, turning Institute priorities into programs and partnerships. Working with the Learning Exchange and Research Exchange faculty directors and the Coordinating Council, the Executive Director will develop and implement strategic and operating plans; establish governance, planning, and reporting structures; and direct shared resources, including compute and large language model access, technical staff, collaboration studios, UROPs, help-desk support, and the Exchange website. The role partners with faculty to shape programs such as communities of practice, seminars, seed grants, and fellowships; builds relationships with schools, departments, and central offices; manages budgets; leads fundraising and external partnerships; and reports to senior leadership on performance and resource needs. Success requires sound judgment, strong collaboration, and adaptability as the Exchange evolves.

For a full job description, please see https://ois.mit.edu/executive-director-mit-ai-exchange/

REQUIRED : Bachelor’s degree; a minimum of ten years of progressively responsible administration, operations, or complex program/project management experience; advanced technical knowledge of AI, computer science, and compute environments, with the ability to engage technical colleagues and donors; demonstrated leadership of large, cross-functional programs and organizational change; proven fundraising success with donors, foundations, and industry partners, including major gifts or in-kind resources such as compute; budget and resource management experience; exceptional people skills and the ability to work inclusively with faculty, students, staff, and senior leaders; and excellent written and verbal communication, judgment, discretion, and the ability to build consensus. PREFERRED : Master’s degree or PhD; experience in a university, research, technology, or similar mission-driven setting; or familiarity with teaching and learning in higher education, including AI in instruction.

11/2/2026