Beverley Hatcher-Mbu
Team Member

Beverley Hatcher-Mbu

Director of Policy United States
Connect with Beverley

Beverley Hatcher-Mbu is an international lawyer with experience in project implementation, client management, policy analysis and data protection. Focused on connecting client needs to technical, policy and privacy solutions, Beverley manages DG’s work in Haiti and supports DG’s work in the extractives industry and assessments of country data use landscapes. Additionally, Beverley provides data privacy and governance support to projects and programs across DG.

Previously, Beverley worked for the World Bank Group as a legal consultant where she helped develop a web-based legal analysis tool to assist users in analyzing and comparing African mining laws, and for Save the Children International. Beverley has worked in 8 countries and speaks French. She holds a Juris Doctor from George Washington University and a BA cum laude in Political Science from Wellesley College. She is admitted to the bar in New York.

Read the Latest

Read more from Beverley
Why Africa’s Next Decade in Agriculture Will Be Won or Lost on Data

Africa’s agricultural transformation depends on stronger data foundations. This blog explores how investing in timely, reliable data can help advance the goals of the new CAADP cycle, strengthen accountability, and unlock more effective digital and AI-driven agriculture.

August 18, 2026 Agriculture, Data Use, Food Systems
Fruit and vegetable stall in Senegal
Development Gateway Collaborates with 50×2030 Initiative on Data Use in Agriculture

Development Gateway announces the launch of the Data Interoperability and Governance program to collaborate with the 50x2030 initiative on data use in agriculture in Senegal for evidence-based policymaking.

February 18, 2026 Agriculture, Data Use
Beyond the Algorithm: The Case for Human Judgment in AI

As AI spreads across sectors, this blog explores why human-in-the-loop approaches remain essential, examining how human judgment supports ethical and sustainable AI, the limits of this approach, and what comes next.

January 21, 2026 Artificial Intelligence