Job Description
Type of Engagement
Consultancy with anticipated travel
Start and End Dates
15 July 2026 to 15 January 2026
Level of Effort
3 days per week (24 hours per week)
Deadline for Applications
08 July 2026, by 11:59 PM CET
The CGIAR Digital Transformation Accelerator (DT-A) leverages digital technologies, artificial intelligence, data science, and innovation to accelerate transformation of food, land, and water systems. To effectively monitor progress, assess outcomes and impacts, support adaptive management, and generate actionable learning, the DT-A requires technical support to design, develop, operationalize, and strengthen a comprehensive Monitoring, Evaluation and Learning (MEL) system. The MEL system will support performance tracking across DT-A Areas of Work (AoWs), ensure accountability to stakeholders and donors, and facilitate evidence-based decision-making. MEL activities will be conducted at both the Accelerator and AoW levels, with a focus on harmonizing approaches across pooled and bilateral funding streams. The assignment objective is to develop and support the implementation of a best-in-class MEL system that is responsive to the entrepreneurial and adaptive nature of the DT-A, supporting performance management, accountability, learning, and evidence-based decision-making while capturing the emergence, testing, scaling, and adoption of digital innovations across food, land, and water systems.
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