- Advise program and country teams on data architecture, interoperability, data quality, governance, and effective data use.
- Identify and prioritize high-value opportunities for AI and advanced analytics to improve public health decision-making.
- Guide the assessment of AI use cases, focusing on feasibility, public health value, equity, safety, and sustainability.
- Develop frameworks, tools, and guidance to help teams assess data and AI opportunities consistently.
- Build organizational capability through training, coaching, and facilitating communities of practice.
- Represent the organization in technical forums with governments, funders, and academic institutions.
- Collaborate with Legal and IT on governance, compliance, procurement, and risk management for data and AI initiatives.
Artificial Intelligence