Building Trusted,
AI‑Ready Data Foundations for Egypt's Leading Banks

Dr. Zeyad Elkelani is an expert in artificial intelligence, data science, financial governance, and development finance, with extensive experience advising governments, central banks, multilateral institutions, and the private sector on data-driven decision-making and digital transformation.

He currently serves as Advisor to the Executive Director at the African Development Bank (AfDB), where he provides strategic advice on sovereign finance, infrastructure investment, governance, and sustainable development across the Bank's African member countries. Previously, he was Head of Data Science at the Central Bank of Egypt, leading the establishment of the Bank's AI and Advanced Analytics Hub and supporting the integration of AI into monetary policy, financial stability, and economic forecasting.

Dr. Elkelani also served as a postdoctoral researcher at the University of California, Irvine, where he led AI and big-data research within the University of California Institute for Prediction Technology on projects funded by the U.S. National Institutes of Health (NIH). His work has been published in leading international journals and focuses on AI, predictive analytics, geospatial intelligence, and trustworthy data systems.

He holds a Ph.D. in Computational Analytics and International Political Economy and an M.Sc. in Applied Data Science from Claremont Graduate University, alongside graduate degrees from the American University in Cairo and the University of Tübingen. Dr. Elkelani is a frequent speaker on AI governance, digital transformation, and the future of finance, helping organizations translate emerging technologies into trusted, scalable, and impactful solutions.

Dr. Karim El-Masry is a senior data and analytics leader with extensive experience helping financial institutions modernize enterprise reporting, operational analytics, and AI-ready data foundations. His work focuses on enabling banks to improve data reliability, reduce dependency on complex data pipelines, and create trusted analytical environments for executive decision-making, risk visibility, regulatory reporting, and customer intelligence.

Mariam Hassan leads enterprise data strategy, analytics governance, and AI enablement at Nile Capital Bank. With over 18 years of experience across banking technology and data transformation, she has played a key role in building trusted data frameworks, certified KPI models, and governance-led analytics programs that support risk, finance, digital banking, and executive decision-making.

Omar Abdel Rahman is responsible for driving AI adoption, digital transformation, and intelligent banking initiatives across Cairo Trust Bank. His focus includes aligning AI programs with secure data architecture, regulatory expectations, and business value. He works closely with technology, risk, and business teams to ensure that AI initiatives are grounded in reliable, governed, and explainable enterprise data.

Leila Mansour leads enterprise data governance, data quality, and regulatory data management initiatives at Delta National Bank. With deep experience across banking operations, risk, compliance, and analytics transformation, she focuses on building trusted data frameworks that support accurate reporting, consistent KPI definitions, and secure AI enablement. Her work helps bridge the gap between business leadership, technology teams, and governance requirements in highly regulated banking environments.

Leila Mansour leads enterprise data governance, data quality, and regulatory data management initiatives at Delta National Bank. With deep experience across banking operations, risk, compliance, and analytics transformation, she focuses on building trusted data frameworks that support accurate reporting, consistent KPI definitions, and secure AI enablement. Her work helps bridge the gap between business leadership, technology teams, and governance requirements in highly regulated banking environments.