Managing Director of Research and Campus Engagement

Job Title: Managing Director of Research and Campus Engagement

Exemption: Exempt

WORK SCHEDULE:

Hybrid work arrangement

BUDGETED SALARY:

The expected pay range for this position is $206,749 to $261,619 per annum

SCHOOL/UNIT DESCRIPTION:

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) is a rapidly growing institute. The research institute, under the purview of Stanford's Vice Provost and Dean of Research, has a mission to advance AI research, education, policy, and practice to improve the human condition.

POSITION SUMMARY:

HAI seeks an experienced leader of proven effectiveness to serve as Managing Director of Research and Campus Engagement of the Institute. Reporting to the Executive Director and working closely with the faculty director of the Institute, the Managing Director of Campus and Research Engagement provides strategic leadership and day-to-day management of HAI's research centers, computing infrastructure, grant and cloud credit program, and on-campus education programs. The role oversees the activity of world-class centers within the institute (Causal Science, Open and Reproducible Science, and more), leads Stanford's academic compute strategy including the Marlowe cluster, and directs an average of $10M per year in research grant and cloud credit funding. The Director also leads HAI's on-campus education programs, including the AI and Data Scholars program and the Amazon AI Fellows program. In this leadership capacity, the Managing Director provides strategic leadership and direction, including resource allocation, to achieve the Institute's goals and objectives.

We are hiring one (1) full-time (100% FTE) continuing term position

PREFERRED/DESIRED QUALIFICATIONS:

• Prior experience in a higher education, research institute, or think tank environment.
• Demonstrated experience managing research grant portfolios including cloud credit or in-kind compute grant programs and compliance with sponsor requirements.
• Experience overseeing or supporting research computing infrastructure.
• Track record of building or scaling academic/educational programs in a university or research institute setting.
• Proven people-management experience, including hiring, coaching and performance management of managerial and individual-contributor staff.
• Financial acumen including experience with multi-source budgeting and forecasting.
• Familiarity with AI/ML research landscape.
• Excellent relationship-building and communication skills, with experience navigating complex bureaucracy and balancing multiple stakeholder interests.