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Evidence Action

Non-profit scaling evidence-based health interventions

Manager, Monitoring, Learning and Evaluation - IDG Pilot

Social & Behavioral SciencesConfirmed live in the last 24 hours
Full-timeAbuja, Federal Capital Territory, NigeriaNo salary listed

About the Job

Requirements

  • At least 7 years of hands-on experience implementing monitoring, learning, and evaluation activities, with substantial experience in field operations, data management, data analysis, and learning and reporting, ideally within immunization, maternal and child health, nutrition, or related public health programs.
  • Demonstrated experience leading large-scale household and health facility surveys using digital data collection, including managing enumerator teams.
  • Experience contributing to monitoring, learning, and evaluation design, including indicators, sampling, and tools, and preparing and submitting institutional review board applications.
  • Demonstrated experience analyzing survey and health facility data and translating findings into reports or recommendations for program, technical, and government audiences.
  • Prior experience working with DHIS2 or similar health management information systems is required.
  • Experience supervising or coordinating data collection teams or vendors is required.
  • A Bachelor's degree with significant additional relevant experience may be considered in lieu of a Master's degree.
  • Strong understanding of Nigeria's health data systems, including DHIS2, routine immunization register and child health card structures, and government reporting requirements.
  • Solid grounding in monitoring, learning, and evaluation frameworks, indicator design, survey sampling including multi-stage cluster designs, and data quality assurance methodologies.
  • Working knowledge of research ethics, institutional review board processes, informed consent, and data protection requirements for human subjects research in Nigeria.
  • Proficiency in digital data collection platforms, preferably SurveyCTO or comparable tools such as ODK, KoboToolbox, or CommCare, including form programming, testing, deployment, and server monitoring.
  • Advanced data analytics skills and proficiency in at least one statistical software package for data cleaning and analysis; Stata is preferred, and R or SPSS are acceptable.
  • Strong Excel skills, including pivot tables, advanced formulas, and dashboards, are required.
  • Proven ability to design and run data quality check systems, including high-frequency checks, back-checks, and register-versus-DHIS2 comparisons, across multiple sites.
  • Strong data management skills, including database structuring, cleaning large datasets, version control, and producing de-identified analysis datasets.
  • Strong written and verbal communication skills in English, including report writing and presenting data to non-technical stakeholders.
  • Supervisory and people management skills, including the ability to train, supervise, and evaluate enumerators and recruit and manage a data collection vendor, including its contract and budget.

Responsibilities

  • Co-develop the Immunization Demand Generation monitoring, learning, and evaluation plan with the MLE Strategy team, including indicators, sampling, survey and monitoring tools, and data analysis plans, and implement the agreed design.
  • Prepare and submit institutional review board applications, amendments, and renewals for baseline, routine monitoring, and endline activities, and manage correspondence with review boards.
  • Lead budgeting and activity planning for monitoring, learning, and evaluation activities, and track spending against the budget.
  • Draft the terms of reference for the independent monitoring firm, lead its recruitment, and manage its contract, deliverables, and payments.
  • Lead day-to-day monitoring, learning, and evaluation field operations across Nasarawa and Oyo States for the baseline, routine monitoring, and endline surveys.
  • Develop and maintain field plans, schedules, and logistics for data collection across pilot local government areas, wards, health facilities, and catchment communities, accounting for access and security conditions.
  • Lead onboarding, training, and field testing of the independent monitoring firm and/or enumerator teams, and manage their performance against agreed quality standards and deliverables.
  • Train enumerators on survey content, informed consent, research ethics, and interview protocols for caregivers and health workers, including field practice and pre-testing.
  • Supervise fieldwork through spot checks, back-checks, accompanied interviews, and daily debriefs, and resolve field challenges promptly.
  • Ensure fieldwork complies with institutional review board approvals, informed consent requirements, and data protection and confidentiality protocols, including secure handling of personally identifiable information such as child dates of birth and caregiver phone numbers.
  • Coordinate with the Immunization Demand Generation program team, including state and local government area coordinators, to align monitoring, learning, and evaluation activities with pilot milestones.
  • Liaise with State Primary Health Care Development Agencies, local government area health officials, and facility in-charges to secure access and buy-in for data collection.
  • Digitize and program caregiver, health facility, phone, and other monitoring tools in SurveyCTO, including skip logic, validation rules, and local-language versions.
  • Test and troubleshoot tools before deployment, manage form versions, and set up and maintain enumerator devices and server access.
  • Maintain Excel-based register data extraction tools with built-in error and consistency checks.
  • Co-design routine monitoring protocols and tools with the MLE Strategy team, including phone surveys of caregivers and ambassadors, caregiver phone number validation, vaccine stock monitoring, and use of digital reminder delivery and incentive distribution data.
  • Document data collection protocols, codebooks, and standard operating procedures so processes are repeatable across states and survey rounds.
  • Run high-frequency checks throughout data collection for missing values, outliers, duplicates, interview duration, and enumerator-level patterns, and promptly follow up on issues with field teams.
  • Clean and format baseline, monitoring, and endline datasets in Stata, document cleaning steps, and maintain de-identified, analysis-ready datasets with unique identifiers.
  • Reconcile immunization register data, DHIS2 reporting, and caregiver-reported vaccination status, and flag discrepancies.
  • Resolve routine data quality issues independently and escalate unresolved or high-stakes issues to the Senior Manager, MLE Delivery.
  • Coordinate monthly and bi-monthly monitoring data collection, including phone surveys with caregivers and ambassadors, health facility register data, and vaccine stockout follow-ups.
  • Track key performance indicators, including message receipt and recall, ambassador reach, incentive receipt, and vaccination uptake, and monitor implementation fidelity at pilot facilities.
  • Proactively flag trends, risks, and underperforming facilities or local government areas to the program team and MLE leadership.
  • Lead routine step-back and learning sessions with the program team and MLE Strategy team, translating monitoring findings into program adjustments.
  • Serve as the main monitoring, learning, and evaluation thought partner to the Nigeria country program team and MLE Strategy team, and lead all learning activities for the pilot.
  • Own analysis and interpretation of baseline, monitoring, and endline data in Stata, including descriptive and bivariate analysis and more advanced analysis where required by the design; assess vaccination coverage, prevalence of zero-dose and under-vaccinated children, caregiver knowledge and attitudes, and health facility readiness; report confidence intervals and document methods.
  • Consult the Data Analytics & Learning team for technical advice or a second review where needed, and coordinate with research partners.
  • Produce the baseline report, regular monitoring dashboards and briefs, and endline report, with clear visuals and plain-language findings.
  • Present findings and actionable recommendations to program and MLE Strategy teams, Evidence Action leadership, and government counterparts, including the National Primary Health Care Development Agency and State health authorities.
  • Contribute to dissemination of results and compile findings that update the pilot's cost-effectiveness analysis.

Desired Qualifications

  • Experience working with an NGO and/or Ministry of Health-affiliated program in Nigeria or a comparable West/Central African context is strongly preferred.
  • Prior experience in a pilot, implementation research, or technical assistance program setting is an asset.
  • Experience in immunization, maternal and child health, nutrition, or related public health programs is preferred.
  • Knowledge of routine immunization, demand generation, behavior change, or related maternal, newborn, and child health programming is an asset.
  • Proficiency with SurveyCTO is preferred; comparable tools include ODK, KoboToolbox, and CommCare.
  • Stata is preferred; R or SPSS are acceptable alternatives.
  • Experience with data visualization and reporting tools such as Power BI or Tableau is an asset.
  • Working knowledge of Hausa and/or Yoruba is an asset.

About the Company

Evidence Action

Non-profit scaling evidence-based health interventions

Evidence Action reduces poverty and improves health by scaling proven, cost-effective interventions in low-income regions. Its programs include Deworm the World, which works with governments to run national school-based deworming programs, and Dispensers for Safe Water, which installs chlorine dispensers at rural water sources to provide safe drinking water. The organization supports governments, communities, and other nonprofits by delivering programs that have been rigorously evaluated for impact and cost efficiency, relying on charitable donations, grants, and partnerships to fund scaling. Unlike groups that offer generic aid, Evidence Action emphasizes evidence-based results and tight use of resources to achieve measurable improvements. The goal is to reach millions more people with proven health and poverty-reduction interventions and to demonstrate clear, scalable impact.

Company size
Not listed
Company stage
Seed
Total funding
$120K
Headquarters
Washington DC, District of Columbia
Founded
2012

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