Evidence Action's mission is to fill the gap between what is effective in global health and development and what is implemented at scale. One of our flagship programs is the Deworm the World Initiative, which envisions a world where all at-risk children have improved health, increased access to education and better livelihoods potential as a result of being free of intestinal worms.
We
are recruiting to fill the position below:
Job Title: Manager, Field Monitoring, MLE
Location: Abuja
Employment Type: Full-time
About The WCA MLE -
Delivery Team
- The MLE-D team implements the Monitoring, Learning, and Evaluation
(MLE) activities for Evidence Action's programs within the WCA. We are
strong because of our diversity of experience, geography, and background -
with over 90% of our people in the countries where our impact is focused.
- The Manager, MLE - IDG Pilot will implement the Monitoring,
Learning, and Evaluation (MLE) activities for Evidence Action's
Immunization Demand Generation (IDG) pilot in Nigeria from start to
finish: co-developing the MLE design with the MLE Strategy team, then
running field operations, tool digitization, data management and cleaning,
analysis, reporting, and learning.
- This is a hands-on manager role. The Manager will do the MLE work
for the pilot directly rather than supervise others doing it: preparing
and submitting IRB applications, digitizing tools, training and
supervising field teams, cleaning and analyzing data, writing reports, and
leading learning sessions. Reporting to the Senior Manager, MLE Delivery,
West and Central Africa,
Key Responsibilities
- MLE design and planning
- Co-develop the IDG MLE 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 IRB applications, amendments, and renewals for
the baseline, routine monitoring, and endline, and manage correspondence
with the review boards
- Lead budgeting and activity planning for MLE activities, and track
spending against the MLE budget
- Draft the terms of reference for the independent monitoring firm,
lead its recruitment, and manage its contract, deliverables, and payments
- Field operations and team management
- Lead day-to-day field operations for MLE activities in Nasarawa and
Oyo States across the baseline (household census, caregiver survey, and
health facility survey), routine monitoring, and the endline survey
- Develop and maintain field plans, schedules, and logistics for data
collection across pilot LGAs, wards, health facilities, and catchment
communities, factoring in access and security conditions
- Lead the onboarding, training, and field testing of the independent
monitoring firm and/or enumerator teams, and manage their performance
against agreed quality standards and deliverables
- Lead enumerator training 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 quickly
- Ensure fieldwork complies with IRB approvals, informed consent
requirements, and data protection and confidentiality protocols, including
secure handling of personally identifiable information (PII) such as child
date of birth and caregiver phone numbers
- Coordinate with the IDG program team, including State and LGA
coordinators, to align MLE activities with pilot milestones such as health
worker training, enrollment, and monthly review meetings
- Liaise with State Primary Health Care Development Agencies
(SPHCDAs), LGA health officials, and facility in-charges to secure access
and buy-in for data collection
- Tool digitization and data systems
- Digitize and program the caregiver survey, health facility survey,
phone surveys, and other monitoring tools in SurveyCTO, including skip
logic, validation rules, and local-language versions (Hausa and Yoruba)
- 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 (SOPs) so that processes are repeatable across states
and survey rounds
- Data quality assurance and cleaning
- Run high-frequency checks (HFCs) throughout data collection,
including missing values, outliers, duplicates, interview duration, and
enumerator-level patterns, and follow up on issues with field teams in a
timely way
- Clean and format baseline, monitoring, and endline datasets in
Stata, document all 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
- Routine monitoring during pilot implementation
- 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, such as 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
LGAs to the program team and MLE leadership, rather than waiting for
review meetings to surface them
- Lead routine step-back and learning sessions with the program team
and MLE Strategy team that translate monitoring findings into program
adjustments
- Serve as the main MLE thought partner to the Nigeria country program
team and the MLE Strategy team, and lead all learning activities for the
pilot
- Analysis and reporting
- Own the analysis and interpretation of baseline, monitoring, and
endline data in Stata, from descriptive and bivariate analysis to more
advanced analysis where the design requires it, including vaccination
coverage, prevalence of zero-dose and under-vaccinated children, caregiver
knowledge and attitudes, and health facility readiness, reporting
confidence intervals and documenting methods
- Consult the Data Analytics & Learning (DAL) team within MLE for
technical advice or a second review where needed, and coordinate with
research partners
- Produce the baseline report, regular monitoring dashboards and
briefs, and the endline report, with clear visuals and plain-language
findings
- Present findings and actionable recommendations to the program and
MLE Strategy teams, Evidence Action leadership, and government
counterparts, including the National Primary Health Care Development
Agency (NPHCDA) and State health authorities
- Contribute to the dissemination of results and to compiling findings
that update the pilot's cost-effectiveness analysis
Requirements
Experience:
- At least 7 years of hands-on experience implementing MLE activities,
with substantial experience in each of field operations, data management,
data analysis, and learning and reporting rather than in one area alone,
ideally within immunization, maternal and child health, nutrition, or
related public health programs
- Demonstrated experience leading large-scale household and health
facility surveys (baseline, endline, or routine monitoring) using digital
data collection, including managing enumerator teams
- Experience contributing to MLE design (indicators, sampling, and
tools) and preparing and submitting IRB 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 required
- Experience supervising or coordinating data collection teams or
vendors required
- Experience working with an NGO and/or Ministry of Health-affiliated
program in Nigeria (or a comparable West/Central African context) strongly
preferred
- Prior experience in a pilot, implementation research, or technical
assistance program setting is an asset
- Education:
- Master's degree in Public Health, Epidemiology, Biostatistics,
Statistics, Demography, or a related field preferred; Bachelor's degree
with significant additional relevant experience will be considered in lieu
of a Master's.
- Specialized knowledge:
- Strong understanding of Nigeria's health data systems, including
DHIS2, routine immunization register and child health card structures, and
government (NPHCDA, SPHCDA, and State Ministry of Health) reporting
requirements Solid grounding in MLE frameworks, indicator design, survey
sampling (including multi-stage cluster designs), and data quality
assurance methodologies
- Working knowledge of research ethics, IRB processes, informed
consent, and data protection requirements for human subjects research in
Nigeria
- Knowledge of routine immunization, demand generation, behavior
change, or related maternal, newborn, and child health (MNCH) programming
an asset
- Skills:
- 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, including proficiency in at least
one statistical software package (Stata preferred; R or SPSS acceptable)
for data cleaning and analysis; strong Excel skills (pivot tables,
advanced formulas, dashboards) required
- Experience with data visualization and reporting tools (e.g., Power
BI, Tableau) is an asset.
- Proven ability to design and run data quality check systems
(high-frequency checks, back-checks, and register-versus-DHIS2
comparisons) at scale across multiple sites
- Strong data management skills, including database structuring,
cleaning large datasets, version control, and producing de-identified
analysis datasets
- Excellent written and verbal communication skills in English,
including report writing and presenting data to non-technical
stakeholders; working knowledge of Hausa and/or Yoruba an asset
- Supervisory and people management skills, including the ability to
train, supervise, and evaluate enumerators and to recruit and manage a
data collection vendor, including its contract and budget.
Application Closing Date
Not
Specified.
How to Apply
Interested
and qualified candidates should:
Click here to apply online
