Matt Gee

Matt Gee leads the data strategy team in the foundation’s U.S. Program, which focuses on data demand, access, governance, and use to support decision-makers across the education-to-workforce continuum. He also helps develop strategic options for using artificial intelligence (AI) within the program and across foundation teams, including the development of an ethical use framework.

Before joining the foundation in 2024, Matt co-founded and served as CEO of BrightHive, a public benefit corporation focused on democratizing data access and AI for lower-capacity organizations. At BrightHive, he pioneered the use of autonomous teams of AI agents that complete complex data tasks for organizations without data engineers or data scientists. He also led the development of innovative governance models, including data collaboratives and data trusts, enabling responsible data sharing for AI training and other applications.

Matt has a rich history of leadership in data and AI for public benefit. He co-founded Data Science for Social Good and has worked extensively with government agencies and nongovernmental organizations to apply data-driven solutions to societal challenges. His work has been funded by major organizations including the National Science Foundation, the Alfred P. Sloan Foundation, and JPMorganChase.

In the areas of education and workforce, Matt has helped lead multiple data innovation networks, including the Workforce Data Initiative, the T3 Innovation Network, the Open Skills Network, and the Job Data Exchange.

Matt previously worked at the U.S. Treasury and founded several companies that use data to improve society. He has served as an advisor to Code for America, DataKind, and the World Bank.

Matt has a B.A. in economics and statistics from Brigham Young University and an MPP from the University of Chicago’s Harris School of Public Policy, where he also completed coursework for a Ph.D. in computational economics and climate policy.