Research Monitoring and Evaluation Coordinator - CIFF Project at MSI Reproductive Choices

About the Role

• The Research Monitoring and Evaluation (RME) Coordinator will be responsible for leading and coordinating all Monitoring, Evaluation, and Management Information System (MIS) activities for the CIFF-supported project at MSI Reproductive Choices Nigeria.
• The role will ensure effective project-level monitoring, high-quality data management, timely reporting, and full compliance with donor guidelines and organizational standards.
• The coordinator will work closely with the CIFF Project Management Team and internal stakeholders to support evidence-based decision-making, implement donor feedback, and strengthen data systems and capacity across project states to ensure successful project delivery and performance.
• The CIFF Project is a three-year multi-state project focused on promoting Family Planning service provision to accelerate the Modern Contraceptive Prevalence Rate (mCPR) across seven states: Bauchi, Gombe, Jigawa, Sokoto, Ebonyi, Kogi, and Bayelsa.
• The M&E Coordinator will provide overall technical leadership for Monitoring and Evaluation and ensure that project performance is effectively tracked, analyzed, and reported.

Key Responsibilities
Project Monitoring and Performance Management:

• Lead tracking of the project results framework and performance indicators.
• Monitor progress against targets and milestones and provide timely feedback on performance.
• Ensure availability and completeness of project data for internal and donor reporting.
• Conduct routine data analysis to assess trends, performance gaps, and implementation challenges.
• Flag performance issues and provide evidence-based recommendations for corrective action.
• Promote use of data for adaptive management and decision-making.

Data Quality Assurance and Validation:

• Lead all data quality assurance and validation activities across project states.
• Implement data quality protocols, tools, and schedules.
• Conduct routine data verification and validation visits.
• Provide structured feedback to teams and partners on data quality findings.
• Ensure compliance with donor and MSI data quality and reporting standards.

Reporting and Donor Compliance:

• Coordinate preparation and submission of high-quality donor and internal reports.
• Ensure alignment with CIFF reporting templates, indicators, and timelines.
• Incorporate donor feedback into reporting and M&E systems.
• Support donor reviews, audits, and evaluations with accurate documentation and datasets.

Capacity Building and Technical Support:

• Lead capacity-building on M&E, data management, and MIS at national, state, and facility levels.
• Assess capacity gaps and develop training and mentorship plans.
• Provide ongoing technical support to strengthen data collection and use.
• Promote a culture of data use for learning and performance improvement.

Team Coordination and Stakeholder Engagement:

• Support regional and support office teams to ensure timely and accurate data submission.
• Work closely with national and state stakeholders, including government counterparts and partners.
• Facilitate effective coordination for data sharing, validation, and joint reviews.
• Represent the project in relevant M&E and learning forums as required.

Management of MIS Platforms and Databases:

• In collaboration with the MIS team, oversee and manage all project MIS platforms and databases.
• Ensure systems are functional, secure, and up to date.
• Support system improvements to enhance data capture, analysis, and reporting.
• Ensure proper documentation, data governance, and controlled access to project data.

Required Qualifications

• Bachelor’s Degree in public health, Demography, Statistics, Economics, Social Sciences, Monitoring and Evaluation, or a related field.
• Master’s Degree in public health (MPH), Monitoring and Evaluation, Biostatistics, Development Studies, or a related discipline is an added advantage.
• 5 – 7 years of progressively responsible experience in Monitoring and Evaluation, preferably in SRH / Family Planning or health programming.
• Demonstrated experience managing M&E systems for large, multi-state or multi-site donor-funded projects.
• Strong understanding of results-based management, logframes, indicators, and performance measurement.
• Experience working with international donors and complying with donor reporting and data quality requirements.
• Proven experience with data quality assurance, data verification, and routine data audits.
• Experience working with government health systems and stakeholders at national and state levels in Nigeria is highly desirable.

Technical Competencies:

• Strong expertise in Monitoring and Evaluation frameworks, tools, and methodologies.
• Solid experience in health information systems and Management Information Systems (MIS).
• Proficiency in data analysis and visualization using tools such as Excel, Power BI, DHIS2, SPSS, STATA, or similar platforms.
• Strong understanding of SRH/Family Planning indicators, including mCPR and service delivery data.
• Ability to design and implement data quality assurance systems and protocols.
• Strong report writing and data interpretation skills for both technical and non-technical audiences.

Leadership Competencies:

• Strong coordination and team support skills across decentralized teams.
• Excellent communication and stakeholder engagement skills.
• Ability to work collaboratively with diverse teams and partners.
• High level of attention to detail and commitment to data quality and integrity.
• Strong problem-solving and analytical thinking skills.
• Ability to manage multiple priorities and meet tight reporting deadlines.
• Demonstrated commitment to learning, accountability, and continuous improvement.

Additional Desirable Competencies:

• Familiarity with MSI Reproductive Choices’ programming, values, and quality standards.
• Experience supporting adaptive management and learning agendas.
• Knowledge of Nigerian health systems, HMIS, and DHIS2 reporting structures.
• Experience supporting evaluations, operational research, or learning studies