Society for Family Health is one of Nigeria’s largest non-governmental organisations. Founded in 1985 by three eminent Nigerians: Professor Olikoye Ransome-Kuti, Justice Ifeyinwa Nzeako, Pharmacist Dahiru Wali and Phil Harvey. Society for Family Health Nigeria has a mission to empower Nigerians, particularly the poor and vulnerable to lead healthier
- Job Type : Full Time
- Qualification: Bachelor’s Degree/Master Degree
- Experience7 years
- Location: Lagos
Job Profile:
- The Monitoring and Evaluation (M&E) Manager will oversee the design, implementation, and management of monitoring and evaluation systems for the Malaria IMPACT 1B Project, with a focus on malaria pre-elimination and digitalization efforts in Lagos State. This role requires close collaboration with key stakeholders, including WHO, NMEP, LSMOH, PCN, and Maisha Meds, to evaluate the effectiveness of the project and ensure the achievement of its objectives and deliverables.
- With an emphasis on evidence-based decision-making, the M&E Manager will work closely with program teams, stakeholders, and partners to ensure continuous learning and adaptation throughout the project lifecycle.
Job Role:
- Design and implement M&E plans, frameworks, and tools aligned with project goals and objectives.
- Establish systems to track project progress, adherence to protocols, and key performance indicators (KPIs).
- Conduct midline, and end-line evaluations to assess project outcomes and impacts.
- Ensure the integration of digital tools and best practices in M&E processes
- Oversee the configuration, deployment, and utilization of electronic data collection tools such as Kobo Collect, ODK, and other relevant platforms.
- Establish data security, storage, and management protocols in compliance with organizational and legal standards.
- Perform statistical analysis to generate insights, identify trends, and support decision-making.
- Lead data visualization and high-level analytics to effectively communicate findings.
- Compile and present accurate, timely, and evidence-based reports for internal and external stakeholders.
- Support the development of policy briefs and peer-reviewed papers based on project data and findings as well as to disseminate project insights and best practices.
- Ensure adherence to ethical standards, data protection protocols, and regulatory requirements in data collection, analysis, and reporting.
- Conduct regular Data Quality Audits (DQA) to validate accuracy, completeness, and consistency of data.
- Provide feedback and technical guidance to improve data integrity and M&E processes.
- Train and mentor project staff and local partners on M&E processes, data collection methodologies, and analysis techniques.
- Facilitate learning sessions and workshops to promote data-driven decision-making.
- Present M&E findings to key stakeholders, including donors, government agencies, and community partners.
- Represent the project in M&E-related forums, networks, and knowledge-sharing platforms to foster collaboration and innovation
Requirements
- A Bachelor’s degree in Statistics, Economics, Demography, Anthropology, Development Planning, Social Work, Epidemiology, Public Health, or a related field is required.
- An advanced degree in Public Health or a related field will be an added advantage.
- Must have a minimum of 7 years post-NYSC professional experience with progressive responsibilities in monitoring and evaluation within public health or large-scale social sector programs.
- Strong knowledge of monitoring and evaluation (M&E) techniques and methodologies, including expertise in conducting operations research, surveys, qualitative assessments, and data analysis, as well as interpreting and reporting findings effectively.
- Extensive experience in designing and implementing M&E systems for development projects, particularly in health or social sectors.
- Proficiency in electronic data collection tools (Kobo Collect, ODK) and data analysis software (SPSS, STATA, or Power BI).
- Strong skills in data visualization and creating actionable insights from complex datasets.
- Demonstrated ability to provide technical assistance and capacity-building support to teams and partners.
- Excellent communication, writing, and presentation skills
Method of Application