Senior Monitoring and Evaluation (M&E) Lead

Development Aid from People to People Zimbabwe (DAPP) is a non-governmental organization registered in Zimbabwe with the Ministry of Labour and Social Services. Through 41 years of work, DAPP Zimbabwe has developed a strong base as an organization in Zimbabwe. The organization is actively implementing development programs in the areas of Agriculture and Food Security, Education and training, Health, Community development, and Emergencies.

Job Summary

The Senior Monitoring and Evaluation (M&E) Lead provides technical and strategic leadership for M&E activities for the anticipated CDC DREAMS project focusing on HIV prevention in adolescent girls and young women. The position will work with project management and technical staff to develop, implements and oversee a robust M&E system to capture and analyze high-quality, relevant and timely data to assess project performance, inform decision making and demonstrate program impacts. The Senior M&E Lead will work with project teams to ensure that activities are designed, implemented and adapted as needed to meet project targets and deliverables.

Duties And Responsibilities

• Lead the development of the M&E system and tools, including theories of change (including logic models, results frameworks, or logical frameworks), indicators of success, data collection and analysis plans, work plans, and related budget.
• Oversee annual work planning and reflection, to ensure that project activities and timeframe achieve quarterly and annual project targets and capture/address lessons learned in an on-going way.
• Design, implement and supervise M&E and learning activities, including development and implementation of the Performance Monitoring Plan, baseline and end line assessments, data quality assessments, routine service delivery data reporting and evaluations.

• Lead M&E-related internal and external reporting using mixed methods (charts, tables, testimonials, case stories, pictures, etc.) providing relevant, evidence-based analyses of program performance for use in strategic decision-making.
• Provide leadership, training and guidance to project staff in planning, implementing and using the M&E system to cultivate data-driven decision making, including participatory methods to understand program performance form a community perspective.
• Supervise the implementation of quality assurance and control measures for data collection at all levels of the project. Ensure data quality through verification procedures, including routine data quality audits.
• Conduct targeted studies and evaluations, including design, data collection, management and analysis.

Qualifications And Experience

- Master’s degree in public health, statistics, social sciences or related field, or equivalent experience.
- At least 5 years of experience designing and implementing M&E activities for complex programs in developing countries (preferably Zimbabwe)
- Demonstrated experience on HIV programs and familiarity with PEPFAR indicators, the Three-Ones Principles and PEPFAR 95-95-95 targets.
- Expertise in quantitative/qualitative methodologies, operations research, health management information systems, reporting, data quality assessments, data analysis, interpretation, translation and presentation
- Strong understanding of PEPFAR and Zimbabwean Government HIV priorities and MOH guidelines, policies and strategic priorities, and the health management information system (DHIS2/DATIM)

- Strong technical skills, including processing and analyzing data using one or more statistical software packages, including at least one of the following: SPSS, SAS, Epi-Info, Stata, MS Access, NVivo, or MAXQDA

- Experience in managing and motivating teams, supervising staff, and addressing performance challenges.
- Well-versed in written and spoken English with effective communication skills, excellent interpersonal, written and oral skills. Local Zimbabwe language proficiency is also preferred.
- Experience conducting community-based, participatory M&E with vulnerable community members in low-resource settings, preferred
- Experience with data visualization, preferred
- Ability to work in a complex environment with short deadlines to deliver results.
- Passionate, motivated, and hardworking team leader.