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- Career category: Monitoring & Evaluation /MEAL, Programme/ Project design & management, Research/ Data analysis
- Job type: Consultancy
- Experience level: 5-10 years
- Organisation type: Civil Society
- Remote option: Not Specified
- Right to work requirements: Nationals-only contract
- Remuneration: Remuneration not disclosed
- Work schedule: Full-time
- Length of contract: Temporary/ Fixed-term
- Deadline: 13/11/2026
- Location: Kenya
Climate & Environmental justice
Economic justice
Food security & Nutrition
Gender equality and Social inclusion (GESI)
Human rights
Project Description
TUMAI MAJI (Transforming Utilities and Mobilising Action for Investment in ASAL Water Security) is a five-year (2027-2031), Embassy of the Kingdom of the Netherlands-funded programme that tackles water insecurity in Kenya’s Arid and Semi-Arid Lands (ASALs) as a governance and systems challenge. The programme promotes market-led change through improved utility performance, delegated management models, public-private partnerships, women- and youth-led enterprises, and an Innovation Challenge Fund, with gender equality and social inclusion, youth employment, climate resilience and conflict sensitivity embedded throughout.
Job Description
SNV Kenya is seeking a qualified and results-oriented MEL Officer to coordinate the design, implementation and continuous improvement of TUMAI MAJI’s integrated consortium-wide MEL system. Working closely with the Project Manager, Programme Management Unit (PMU), system leads, partner MEL focal points and implementing partners, the officer will ensure that programme performance is monitored consistently, evidence is credible and timely, results are reported against the approved logframe and EKN indicator frameworks, and learning informs decisions across the four interlinked systems.
The role will provide technical guidance and implementation support on indicator protocols, data collection and analysis, data quality assurance, evaluations, reporting, learning and knowledge management. The officer will help the consortium assess not only progress against targets, but also whether changes in institutional behaviour, coordination, governance and service performance are emerging, and how these contribute to wider water security and climate resilience outcomes.
Qualifications and Experience
- At least five years of relevant experience in MEL for donor-funded development programmes, including responsibility for the MEL cycle from design and indicator development through data collection, analysis, reporting, evaluation and learning.
- Bachelor’s degree in monitoring and evaluation, social sciences, development studies, statistics, economics, water/environmental management or another relevant field.
- Relevant professional training or certification in monitoring and evaluation is required.
- Experience using mixed-methods approaches and analysing both quantitative and qualitative data, including surveys, interviews, focus group discussions, administrative data and qualitative outcome evidence.
- Experience measuring programme outcomes and institutional or systems change, and translating evidence into practical recommendations for programme adaptation and decision-making.
- Strong skills in data management, analysis and visualisation, and advanced skills in data analytics digital data collection, database development and maintenance, spreadsheets and MEL tools.
- Experience coordinating MEL across multiple partners or geographic locations and strengthening the capacity of colleagues or partner organisations.
- Strong analytical, report-writing, facilitation and presentation skills, with the ability to communicate findings clearly to technical and non-technical audiences.
- High level of professionalism, integrity, attention to detail and ability to work independently, collaboratively and to deadlines.
- Excellent written and spoken English. Strong interpersonal skills and the ability to work constructively with diverse partners and stakeholders.
- Willingness and ability to undertake need-based travel to the five target counties and work in dynamic field contexts.
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