Head of Monitoring, Learning and Evaluation (MLE) Unit

Overview

Lead the Monitoring, Analysis and Evaluation activities to enable improved planning and delivery and to ensure learning becomes a critical part of how WFP Yemen operates.

Key Responsibilities

• Contribute to the quality delivery of the Interim CSP 2026 – 2029.
• Define an integrated Monitoring, Learning and Evaluation workplan.
• Build a high performing team.
• Provide leadership and project management for the MLE unit.
• Ensure that Yemen Country Office and its cooperating partners (CP) use a well-prioritized M&E plan.
• Establish quality assurance and oversight mechanisms for MLE processes.
• Revise MLE guidelines and SOPs.
• Lead the assessment of data and identify additional and/or different monitoring requirements.
• Lead the improvement and expansion of monitoring modalities, tools and check lists.
• Assess and enhance existing monitoring reports and dashboards.
• Ensure quality management and continuous improvement of MLE Accountability to Affected Populations (AAP) tools and activities.
• Define a ML&E capacity development plan.
• Establish regular feedback mechanisms.
• Support the development of learning agendas for all activities managers.
• Other relevant duties requested by line manager.

Required Experience

At least eight (7) years of postgraduate progressively responsible and international professional experience in Monitoring, Evaluation and Learning with expertise in setting up complex monitoring and learning systems, capacity development and establishment of results-based data systems. Experience managing teams with outstanding leadership and coaching skills. Work experience in humanitarian and development context is desirable. Experience in managing stakeholders. Ability to cultivate sustainable relationships with office colleagues, government authorities, local NGOs, and other implementation partners. Demonstrated extensive experience in research methodology and results-based programming, including the application of quantitative and qualitative (mixed-methods) approaches. Strong expertise in data analysis, data management, data reporting, data quality assurance, and knowledge management.

Qualifications

Advanced University degree in Monitoring and Evaluation, Development Studies, Economics, Agriculture Economics Statistics, or other relevant field.

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