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Professional Training in Monitoring, Evaluation, and Learning (MEL)

Full-time On-site Mid Level Nyarugenge, RW
Posted 14 hours, 33 minutes ago ⏰ Deadline: May 6, 2026 0 views 0 applications

Job Description

In today’s results-driven environment, organizations across the development, public, and private sectors face mounting pressure to demonstrate effectiveness, accountability, and impact. Programs are no longer assessed solely on the activities they deliver, but on the measurable and lasting changes they produce. Monitoring, Evaluation, and Learning (MEL) has therefore become an indispensable function in modern programming, enabling organizations to track progress, generate credible evidence, and continuously improve their work. Despite its recognized importance, a significant gap persists between the demand for MEL expertise and the availability of professionals with the requisite skills. Many practitioners engaged in program design and implementation lack formal, structured training in MEL. In practice, this translates into weakly articulated program logic, poorly defined indicators, inadequate monitoring systems, and a limited ability to commission or manage evaluations. Critically, available evidence often goes underutilized in organizational decision-making. At the same time, artificial intelligence is actively reshaping how MEL work gets done. Professionals are already using AI tools to process qualitative data, draft reports, and structure evidence narratives; yet most existing training programs have not kept pace with this shift. A forward-looking MEL curriculum must therefore prepare professionals not only for MEL as it is, but as it is becoming. These realities point to a clear need: a practical, structured, and progressive capacity-building program that equips professionals with real-world MEL competencies while integrating the responsible use of AI as a natural part of modern practice. In direct response, DATA+ Rwanda and Horizon of Excellence have developed a comprehensive professional training program in MEL, designed to build capacity from foundational principles through to intermediate-level application.

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