Monitoring & Evaluation Officer (2 Positions) at Benjamin William Mkapa Foundation

Department: Directorate of Programs and Strategic Information
Reports to: Monitoring, Evaluation, Research and Learning Manager (MERL)
Duty Station: Dar es Salaam and Mwanza, Tanzania
Contract Type: Full-time
Supervises: None

Position Summary

The Monitoring & Evaluation Officers will support the design and implementation of Monitoring, Evaluation, Research, and Learning (MERL) systems for the Health workforce, Nurturing Care for Early Childhood Development (NCfECD), Maternal, Newborn and Child Health (MNCH) programs, and others. They will ensure the collection, analysis, quality assurance, and reporting of high-quality program data to monitor performance, inform decision-making, support adaptive management, and demonstrate results. The officers will also promote data use, strengthen reporting systems, and facilitate learning and continuous improvement across health and development programs, in collaboration with government and implementing partners.

Key Responsibilities

Monitoring and Evaluation Systems

• Support the development and implementation of M&E frameworks, indicators, data collection tools, and reporting systems.
• Ensure alignment of program MERL systems with donor requirements and relevant national information systems.
• Support the development and use of digital data collection, management, and visualization platforms.

Data Management, Monitoring and Reporting

• Coordinate routine data collection, verification, analysis, and reporting across project sites and partners.
• Maintain program databases, dashboards, and performance tracking tools.
• Conduct data quality assessments and ensure timely, accurate, and complete reporting.
• Prepare regular program performance reports for internal and external stakeholders.

Monitoring, Evaluation and Research

• Track progress against program targets and identify implementation gaps, bottlenecks, and emerging risks.
• Support baseline, midline, endline evaluations, operational research, and special studies.
• Analyze and interpret program data to generate actionable insights and recommendations.
• Ensure compliance with approved research protocols, safeguarding requirements, and ethical standards.

Learning and Knowledge Management

• Document and disseminate lessons learned, best practices, innovations, and success stories.
• Contribute to the development of technical briefs, reports, presentations, and other knowledge products.
• Support learning events, review meetings, and reflection sessions to promote evidence-based decision-making.

Capacity Building and Technical Support

• Provide technical support to program teams, implementing partners, and sub-grantees on MERL systems and reporting requirements.
• Support training, mentorship, and supportive supervision to strengthen data quality and reporting performance.
• Conduct field visits to monitor implementation and strengthen adherence to MERL standards and procedures.

Data Protection, Compliance and Safeguarding

• Ensure compliance with data protection policies, safeguarding standards, donor requirements, and organizational procedures.
• Promote secure and ethical collection, storage, and use of program data, particularly information relating to children and caregivers.
• Promptly report data quality, safeguarding, or data protection concerns.

Qualifications, Experience and Competencies

• Bachelor's degree in Public Health, Statistics, Monitoring & Evaluation, Economics, Demography, Social Sciences, Computer Science, or a related field; a Master's degree is an added advantage.
• Minimum of five (5) years of experience in monitoring and evaluation, preferably in Early Childhood Development, MNCH, health workforce or other health development programs.
• Experience in developing and implementing M&E systems, performance monitoring frameworks, data collection tools, and reporting processes.
• Proficiency in Excel and digital data collection platforms (e.g., KoboToolbox, ODK); experience with DHIS2, Power BI, SPSS, or STATA is an added advantage.
• Strong analytical, data visualization, reporting, communication, and problem-solving skills.
• Commitment to data quality, safeguarding, accountability, and ethical standards.