The Government of Ethiopia has committed to accelerating progress toward universal, reliable, affordable, and sustainable electricity access and achieving the objectives of the Mission 300 (M300) initiative. The National Energy Compact provides a framework for translating these commitments into concrete policy actions, investments, institutional reforms, and measurable results.
To ensure effective implementation, coordination, monitoring, reporting, and timely resolution of implementation bottlenecks, the Government intends to establish a National Energy Compact Delivery and Monitoring Unit (CDMU).
The CDMU will serve as a central coordination and delivery mechanism for monitoring implementation of Ethiopia's Energy Compact, facilitating coordination among government institutions, development partners, utilities, private-sector stakeholders, and other relevant actors, and ensuring that agreed targets and milestones are translated into measurable results.
The CDMU requires a MEL Expert to lead the design, development, maintenance, operationalisation, and continuously strengthening of a results-based Monitoring, Evaluation and Learning (MEL) system for Ethiopia’s National Energy Compact.
Tasks and Responsibilities
Develop and maintain the Compact Results Framework and periodically review the Theory of Change, incorporating indicators, baselines, targets, milestones, risks and assumptions.
Establish and monitor KPIs covering electricity access, generation, transmission and distribution, off-grid energy, clean cooking, utility performance, private investment and institutional and policy reforms.
Establish and maintain a central Compact Commitment Tracker, updated monthly, to monitor institutional responsibilities, delivery milestones, progress, bottlenecks, corrective actions and escalation requirements.
Support the development and operationalisation of performance dashboards, working with ICT and data specialists to monitor Compact implementation, financing, project delivery, institutional performance and key risks.
Establish data governance, collection, validation, verification and quality assurance procedures to ensure accurate, consistent and reliable reporting across implementing institutions.
Standardise institutional reporting requirements and integrate relevant data systems of MoWE, EEP, EEU, EEA, Regional Energy Bureaus and other agencies where feasible.
Work with GIS specialists to monitor electrification, grid and distribution expansion, off-grid energy systems, project locations and regional disparities in energy access.
Coordinate with financing experts and the Ministry of Finance to monitor funding requirements, commitments, disbursements, financing gaps and private capital mobilisation, alongside project progress from concept through to operation.
Establish a structured learning agenda incorporating quarterly reviews, lessons learned, case studies and feedback mechanisms to support continuous improvement.
Prepare monthly, quarterly and annual Compact performance reports covering achievements, KPIs, milestones, financing, implementation challenges, risks and corrective actions.
Provide technical support to Compact performance review meetings, including preparing dashboards, performance presentations, decision briefs and action trackers.
Assess institutional MEL capacity, develop capacity-building programmes and strengthen the network of institutional MEL focal persons.
Requirements
Master’s degree or higher in Monitoring and Evaluation, Economics, Development Economics, Statistics, Public Policy, Development Studies, Energy Economics, Engineering, Public administration, Data Science or a related discipline.
At least 8 years of progressively responsible experience in MEL/M&E, results-based management, national development programmes, public-sector performance management or donor-funded energy and infrastructure programmes.
Experience working with government and international development partners in the energy sector is highly desirable.
Proficiency in SPSS, STATA, R, or similar statistical software.
Results-Based Management, Theory of Change and Logical Framework Approach.
Experience with Excel and Power BI; knowledge of SQL/database systems, KoboToolbox/ODK, GIS and R/Stata/SPSS/Python is an advantage.
