Senior-level expertise in data architecture and API design for complex, federated data environments — including experience designing for AI orchestration and agentic access patterns.
Advanced understanding of AI/ML pipeline requirements — practical understanding of what LLM-based and agentic tools require from upstream data infrastructure, including cost modelling at scale.
Deep experience in MEL and risk-informed systems in international development — results frameworks, theory of change, indicator management, and bilateral reporting structures.
Proven ability to advise on organizational change and adoption in federated, multi-stakeholder settings.
Track record producing architectural blueprints that non-technical leadership can act on and developers can build against.
Strong capacity to translate user, governance, and reporting needs into system and data requirements — a service-design sensibility that starts from what users must be able to answer.
Experience with CGIAR, multilateral research organisations, or comparable federated institutional environments is an advantage.
GK
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