MEL Expert - National Energy Compact

About the role

The Government of Malawi's Compact Delivery and Monitoring Unit (CDMU), within the Office of the President and Cabinet, is recruiting a MEL Expert for a 12-month contract in Lilongwe. The role supports the National Energy Compact, which aims to expand electricity access, promote clean cooking and increase renewable electricity by 2030. The expert will set up and manage the Compact's monitoring and evaluation system, aligned with the Mission 300 Tracking Tool, and report data-driven findings to the Steering Committee, OPC and development partners.

Key responsibilities

• Design and operationalise the Compact MEL framework and indicators, and align national MEL systems with Mission 300 tools and standards.
• Develop baseline indicators for electricity access, clean cooking and renewable energy integration.
• Set up real-time data collection using digital and geospatial platforms, and produce quarterly and annual MEL reports.
• Monitor reform progress, financing flows and project delivery, identify bottlenecks early and recommend corrective actions.
• Conduct independent evaluations of major Compact initiatives and integrate gender, climate and inclusion indicators.
• Liaise with utilities, ministries and development partners to harmonise reporting, and build dashboards and progress trackers.
• Build capacity of PIUs and Ministry of Energy staff on MEL practices and tools, and ensure data quality through validation and audit.
• Facilitate dissemination of results and lessons learned.

Required profile

• Master's degree in Monitoring and Evaluation, Statistics, Development Studies, Economics or a related field.
• At least 8 years' experience in MEL for large, donor-funded or government programmes.
• Demonstrated experience with GIS and geospatial planning tools.
• Knowledge of Malawi's monitoring frameworks and statistical institutions.
• Familiarity with Mission 300 or similar global monitoring initiatives.
• Must be a Malawi citizen.

Required skills

• Proficiency in SPSS, STATA, R or similar statistical software.
• Project management tools such as Microsoft Project.