1. M&E System Design and Implementation

• Develop and refine the DFI's M&E framework, including results chains/logframes, performance indicators (both financial and non-financial, e.g., job creation, climate impact, gender equality), and data collection protocols.
• Design and manage project-specific Performance Monitoring Plans (PMPs) and M&E components for new investments, ensuring alignment with the DFI's corporate strategy and international standards (e.g., GIIN, HIPSO).
• Develop and deploy appropriate quantitative and qualitative data collection tools, surveys, and methodologies for baseline, mid-term, and endline evaluations.

2. Data Management and Analysis

• Oversee the collection, cleaning, and storage of high-quality M&E data from investees, implementing partners, and secondary sources.
• Conduct rigorous analysis of M&E data using statistical software to assess project performance, measure progress towards development impact targets, and identify trends and anomalies.
• Support the development and maintenance of an M&E database/Management Information System (MIS) and data visualization dashboards.

3. Reporting and Communication

• Prepare and disseminate timely and accurate M&E reports for internal stakeholders (Management, Investment Committees) and external partners (Strategic Partners, Regulatory Bodies).
• Contribute to annual reports, impact reports, and other publications by providing evidence-based insights on the DFI's developmental effectiveness.
• Present M&E findings and recommendations clearly and concisely to diverse audiences to inform adaptive management and strategic decision-making.

4. Learning and Capacity Building

• Facilitate learning and knowledge-sharing sessions across investment teams to document best practices, lessons learned, and case studies from project implementation.
• Support the use of M&E data for continuous improvement and strategic course correction of investment approaches.
• Provide technical assistance and training to DFI staff and investees/partners on M&E concepts, data collection, and reporting requirements.

5. Evaluation and Quality Assurance

• Conduct data quality assessments (DQAs) and field monitoring visits to verify the accuracy and reliability of reported data.
• Ensure compliance with the DFI’s M&E policies, ethical standards, and data privacy regulations.