Project Monitoring and Evaluation Manager at PATH4AIPOCUS Project

The PATH4AIPOCUS Project is a three-year initiative funded by the Gates Foundation. The project aligns with national and global Maternal, Newborn, Child, and Nutrition Health (MNCNH) priorities by supporting the development, validation, and scale-up of Artificial Intelligence–enabled Point-of-Care Ultrasound (AI-POCUS) within antenatal care (ANC) services in Nigeria.

The project aims to generate robust evidence on health system readiness—including service delivery regulations, policy alignment, competency frameworks, financing mechanisms, and implementation feasibility—to inform sustainable integration of AI-enabled POCUS into routine maternal healthcare in resource-constrained settings.

We are recruiting to fill the position below:

Job Title: Project Monitoring and Evaluation Manager

Location: Benin, Edo
Employment Type: Contract

Key Responsibilities
M&E System Design and Leadership:

• Develop and operationalize the project’s M&E framework aligned with project objectives.
• Define indicators, targets, and data collection strategies for:
• Stakeholder engagement and policy alignment
• Facility readiness and provider capacity
• Community demand creation and acceptability
• Training effectiveness and competency
• Service delivery, QA, and implementation outcomes
• Align indicators with global frameworks, including Proctor’s Implementation Outcomes Framework.

Evaluation Design and Execution:

• Lead design and coordination of Baseline, midline, endline, and post-endline assessments
• Oversee mixed-methods evaluation, including: Quantitative surveys, Routine service data analysis, qualitative research (KIIs, FGDs)
• Coordinate closely with external evaluation partners (e.g., Johns Hopkins University) to ensure methodological rigor and alignment.
• Support integration of the AI-POCUS digital monitoring platform with project databases.
• Ensure interoperability with national systems (e.g., DHIS2 where applicable).
• Troubleshoot data system issues in collaboration with IT teams and device vendors.

Quality Assurance and Learning:

• Collaborate with clinical and QA teams to track diagnostic concordance, Provider performance trends, and Fidelity to AI-POCUS protocols
• Translate QA findings into programmatic improvements, training adjustments, and supervision strategies
• Establish feedback loops for continuous learning across facilities and states.

Data Use, Reporting, and Knowledge Translation:

• Lead production of monthly, quarterly, and annual reports, Implementation outcome reports, policy briefs, and dissemination materials
• Train project staff, facility teams, and partners on: M&E tools and frameworks, data collection and reporting standards, and use of dashboards for decision-making
• Build the capacity of the project staff, state, and facility stakeholders to sustain M&E systems beyond the project.

Support for Monitoring, Evaluation, and Research:

• Prepare datasets for: Baseline, midline, endline, and post-endline assessments

Mixed-methods analysis (quantitative + qualitative integration):

• Work with the M&E team to structure data for Proctor’s implementation outcomes framework.
• Support coding frameworks and data export for tools like NVivo (qualitative data).
• Maintain documentation (data dictionaries, metadata, codebooks).

Qualifications and Experience

• Master's degree in Public Health, Epidemiology, Biostatistics, and Health Economics
• Minimum 7–10 years of experience in M&E for large-scale health programs.
• Proven experience leading evaluations (baseline to endline) using mixed methods.

Experience in:

• Maternal, newborn, and child health (MNCH)
• Digital health or AI-enabled interventions (preferred)
• Multi-state or multi-country projects
• Experience working with government stakeholders and donors.
• Close attention to detail and data accuracy
• Strong problem-solving and analytical skills
• Ability to manage multiple datasets and deadlines.

Application Closing Date
12th May, 2026.

How to Apply
Interested and qualified candidates should:
Click here to apply online