Monitoring, Evaluation & Learning Lead
Raising The Village
Monitoring, Evaluation & Learning Lead
Raising The Village
Not-for-profit boosts rural agricultural incomes
Job title | MEL Lead, Tanzania (Monitoring, Evaluation & Learning) |
Reporting to | MEL Manager |
Years of experience | 5+ years |
Location | Bukoba, Tanzania |
Position type | Full-time |
Working Conditions | Up to 40% in-country travel, with occasional regional travel as required |
Position Summary
The MEL Lead, Tanzania will lead the planning, coordination, implementation, and continuous improvement of Monitoring, Evaluation & Learning activities for RTV's Tanzania country program. The role will serve as the primary MEL focal point in Tanzania, ensuring that monitoring systems, data collection processes, reporting routines, outcome tracking, and learning activities are delivered with quality, timeliness, and alignment to RTV standards.
Working closely with the Tanzania leadership, program teams, field teams, and RTV's central MEL, Analytics, and Data Integrity functions, the MEL Lead will strengthen evidence-based decision-making, support program learning, and ensure reliable performance reporting. The successful candidate will combine strong MEL technical skills, practical field implementation experience, stakeholder coordination abilities, and a commitment to using data and learning to improve program quality and accountability in Tanzania.
Key Responsibilities
Tanzania MEL Planning, Coordination and Implementation
Monitoring, Outcome Tracking and Reporting
Cross-functional Collaboration
Data Quality and Performance Management
Capacity Strengthening
Qualifications
Education
Experience
We encourage women, people with disabilities and minority groups to apply for this position. RTV is committed to equal opportunities and diversity of perspective at the workplace.
Disclaimer: Raising the Village DOES NOT charge any kind of FEE(s) at whichever stage of the recruitment process.
Not-for-profit boosts rural agricultural incomes
Raising The Village partners with ultra-poor, last-mile communities to raise household income and production from under $1/day to over $2/day by boosting farming income, expanding diverse income sources, building productive assets, and removing barriers to economic participation. Its programs combine community collaboration with hands-on farming, income diversification, and asset development, guided by real-time data analytics that monitor conditions and outcomes to adjust interventions quickly. The organization relies on live data to target support where it is needed, enabling precise, measurable impact as a not-for-profit. The goal is to lift the poorest households’ income and production in a sustainable way through data-informed, household-level assistance.
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