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MEL System Development and Implementation

CGIAR · Nairobi

🇬🇧 English
Digital MEL platforms AI-enabled analytics tools

Job description

About the role

The CGIAR Digital Transformation Accelerator (DT‑A) seeks a consultant to design, develop and operationalise a comprehensive Monitoring, Evaluation and Learning (MEL) system. The assignment supports performance tracking, accountability and evidence‑based decision‑making across food, land and water digital innovations.

Key responsibilities

  • Review the DT‑A Design Document and Theory of Change, define MEL objectives, refine the results framework and identify learning priorities (Weeks 1‑4).
  • Develop a full MEL framework including results pathways, indicators, data sources, responsibilities and reporting mechanisms; formulate learning questions and recommend digital/AI‑enabled data collection tools (Weeks 5‑12).
  • Create templates, guidelines and SOPs; configure and deploy digital MEL platforms, dashboards and AI analytics; establish data quality assurance processes; facilitate reflection sessions and support the preparation of performance reports and knowledge‑sharing products (Week 13 onward).

Required profile

  • Proven experience designing and implementing MEL systems for development or research programmes.
  • Strong understanding of Theory of Change, results frameworks and learning agendas.
  • Experience working with multi‑stakeholder, multi‑funding environments, preferably in the agricultural or environmental sector.

Required skills

  • Digital MEL platforms
  • AI‑enabled analytics tools
  • Dashboard development and visualisation
  • Data quality assurance and verification methods

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Published 3 months ago

40 views · 1 interested

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CGIAR

Nairobi