Beverley Hatcher-Mbu
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
Digital Sovereignty & Open-Source: The Unlikely Duo Shaping DPI
In 2025, digital sovereignty and open source have become an unlikely duo, opening paths to more resilient DPI. This blog reflects on the value of open-source data exchange and the conditions needed to enable it.
The Future of Food Systems: Spotlight on Ethiopia
When we discuss food systems, we are not just talking about farms; we are referring to the entire food supply chain. We are talking about how people eat, live, and navigate an increasingly volatile climate. This blog post analyzes Ethiopia's national food systems strategy as an example of where UNFSS can go next in strengthening food security globally.
Demystifying interoperability: Key takeaways from our new white paper
This blog post gives an overview on our latest paper on interoperability, implementing interoperable solutions in partnership with public administrations. Based on over 20 years of DG’s experience, the paper demystifies key components needed to build robust, resilient, and interoperable data systems, focusing on the “how” of data standardization, data governance, and implementing technical infrastructure.