Mark Adiedo

Vice President, People and Culture/Chief Diversity Officer

Mark Adiedo is the vice president for people and culture and chief diversity officer at the Rockefeller Brothers Fund. This executive leadership position includes oversight of the Fund's people, culture, and organizational development strategies. He also oversees human resources for a number of RBF affiliates, including Rockefeller Family Fund, David Rockefeller Fund, Asian Cultural Council, Trust for Mutual Understanding, Environmental Grantmakers Associations, and V. Kann Rasmussen Foundation.

Mr. Adiedo has over ten years of executive experience in strategic management of talent, culture, and organizational development. He has worked and consulted for several New York City nonprofits that address issues of homelessness, sustainable development, displaced populations, and global humanitarian assistance. Before joining the Fund, he led global human resources for Church World Service and managed labor relations for its New York City operations.

Mr. Adiedo is a board member of The Interchurch Center, which is home to over 70 organizations, including the RBF. He is also on the board of directors for USAHello, whose mission is to help refugees, asylum seekers, immigrants, and receiving communities thrive with free, high-quality information and resources. Mark also serves on the compensation sub-committee of the John Templeton Foundation, which funds research and catalyzes conversations that inspire deeper scientific and religious insights people.

He holds a bachelor's degree in social sciences from the Catholic University of Eastern Africa, a master's degree in industrial sociology from the University of Witwatersrand in South Africa, and a master's degree in human resource management from The New School's Milano School of International Affairs, Management, and Urban Policy. Mr. Adiedo also holds a certificate in Artificial Intelligence (AI) Strategy from Cornell University, which comprised of courses in the critical topics of strategic implementation of AI systems, understanding machine learning and data-based approaches, and evaluating the ever-increasing challenge of AI's societal impacts, especially in the workplace of the future.