Monitoring, Evaluation and Learning (MEL) Manager
2026-07-07T11:11:32+00:00
African Wildlife Foundation (AWF)
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https://www.awf.org/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Hospitality, and Tourism
Management, Business Operations, Social Services & Nonprofit, Science & Engineering, Farming & Outdoors
2026-07-21T17:00:00+00:00
8
Position Summary
The MEL Manager is a senior technical role responsible for ensuring that AWF’s monitoring, evaluation, and learning systems produce credible, high-quality, decision-relevant evidence that informs strategy, adaptive management, and governance. The role holder will operationalize AWF’s mission-level Theory of Change and impact framework, steward institutional indicators and data standards, and ensure that MEL systems function as an enterprise-wide decision-support architecture. The MEL Manager will combine advanced data analytics, rigorous data quality assurance, and strong program design expertise to translate field-level evidence into leadership- and Board-ready insights.
Key Responsibilities
Standards, Methodology, and Data Quality Assurance (30%)
- Operationalize and steward AWF’s mission-level Theory of Change and Impact Framework, ensuring consistency across portfolios, landscapes, and countries.
- Manage the Mission Indicator Compendium and enforce indicator governance processes.
- Lead data quality assurance (DQA) processes, including routine data verification, spot checks, audits, and methodological reviews.
- Establish and enforce MEL minimum standards and mandatory design gates for all new projects and programs.
- Ensure compliance with institutional data governance, data protection, and ethical evidence-use protocols.
Systems, Analytics and Evidence Infrastructure (25%)
- Lead the management and continuous improvement of AWF’s data management platform.
- Ensure seamless integration of field data collection tools with institutional databases.
- Work closely with the GIS and spatial analytics team to align spatial data products with institutional MEL frameworks and mission-level impact reporting.
- Maintain institutional dashboards and visualization products designed for reuse and adaptation across internal management, governance, and external reporting needs.
- Ensure interoperability between project-level MEL systems and institutional aggregation frameworks.
Learning, Evaluation, and Knowledge Synthesis (25%)
- Support the implementation of structured learning and reflection cycles across the organization, ensuring evidence is synthesized and applied to adaptive management and decision-making.
- Produce clear, decision-oriented learning products, including briefs, syntheses, and analytical summaries that support evidence-informed management and strategic decision-making.
- Maintain the Mission Knowledge Repository as a structured, accessible system for curating institutional evidence, evaluations, and learning outputs.
- Coordinate high-quality internal and external evaluations and oversee management response processes to ensure accountability and closure of learning loops.
Capacity Building and Technical Advisory (20%)
- Provide technical leadership and advisory support to Landscape MEL Leads and Country Office MEL staff through a matrix management model.
- Lead MEL capacity strengthening initiatives for project teams, partners, and senior leadership, including training on analytics, adaptive management, and evidence use.
- Review and provide technical input into project MEL plans, logframes, and results frameworks during programme design and proposal development.
- Support teams in mapping project indicators to the Mission Results Framework and institutional indicators.
- Convene and facilitate communities of practice for MEL practitioners across AWF.
Key Qualifications
Education
- Master’s degree (required) in Monitoring & Evaluation, Statistics, Data Science, Economics, Environmental Science, Conservation Science, Development Studies, or an applied social science discipline.
- Advanced training in data analytics is a strong advantage.
Experience
- Minimum 8–10 years of progressively responsible MEL experience, with at least 3–5 years in a senior or managerial role within conservation, natural resource management, or international development organizations.
- Demonstrated experience designing and managing enterprise-level MEL systems, including institutional indicators and aggregation frameworks.
- Strong track record in data analytics, including use of statistical software, dashboards, and data visualization for decision-making.
- Proven expertise in data quality assurance, methodological integrity, and evaluation management.
- Experience supporting programme and project design, including results frameworks, theories of change, and MEL plans.
- Experience working in matrixed, multi-country organizations with decentralized implementation structures.
Technical Competencies
- Advanced quantitative and qualitative analysis skills; ability to translate complex data into clear insights.
- Strong understanding of impact evaluation approaches, contribution analysis, and adaptive management.
- Proficiency with data platforms, MEL databases and visualization software (e.g., Power BI, Tableau, or equivalent).
* Operationalize and steward AWF’s mission-level Theory of Change and Impact Framework, ensuring consistency across portfolios, landscapes, and countries. * Manage the Mission Indicator Compendium and enforce indicator governance processes. * Lead data quality assurance (DQA) processes, including routine data verification, spot checks, audits, and methodological reviews. * Establish and enforce MEL minimum standards and mandatory design gates for all new projects and programs. * Ensure compliance with institutional data governance, data protection, and ethical evidence-use protocols. * Lead the management and continuous improvement of AWF’s data management platform. * Ensure seamless integration of field data collection tools with institutional databases. * Work closely with the GIS and spatial analytics team to align spatial data products with institutional MEL frameworks and mission-level impact reporting. * Maintain institutional dashboards and visualization products designed for reuse and adaptation across internal management, governance, and external reporting needs. * Ensure interoperability between project-level MEL systems and institutional aggregation frameworks. * Support the implementation of structured learning and reflection cycles across the organization, ensuring evidence is synthesized and applied to adaptive management and decision-making. * Produce clear, decision-oriented learning products, including briefs, syntheses, and analytical summaries that support evidence-informed management and strategic decision-making. * Maintain the Mission Knowledge Repository as a structured, accessible system for curating institutional evidence, evaluations, and learning outputs. * Coordinate high-quality internal and external evaluations and oversee management response processes to ensure accountability and closure of learning loops. * Provide technical leadership and advisory support to Landscape MEL Leads and Country Office MEL staff through a matrix management model. * Lead MEL capacity strengthening initiatives for project teams, partners, and senior leadership, including training on analytics, adaptive management, and evidence use. * Review and provide technical input into project MEL plans, logframes, and results frameworks during programme design and proposal development. * Support teams in mapping project indicators to the Mission Results Framework and institutional indicators. * Convene and facilitate communities of practice for MEL practitioners across AWF.
* Advanced quantitative and qualitative analysis skills; ability to translate complex data into clear insights. * Strong understanding of impact evaluation approaches, contribution analysis, and adaptive management. * Proficiency with data platforms, MEL databases and visualization software (e.g., Power BI, Tableau, or equivalent).
* Master’s degree (required) in Monitoring & Evaluation, Statistics, Data Science, Economics, Environmental Science, Conservation Science, Development Studies, or an applied social science discipline. * Advanced training in data analytics is a strong advantage. * Minimum 8–10 years of progressively responsible MEL experience, with at least 3–5 years in a senior or managerial role within conservation, natural resource management, or international development organizations. * Demonstrated experience designing and managing enterprise-level MEL systems, including institutional indicators and aggregation frameworks. * Strong track record in data analytics, including use of statistical software, dashboards, and data visualization for decision-making. * Proven expertise in data quality assurance, methodological integrity, and evaluation management. * Experience supporting programme and project design, including results frameworks, theories of change, and MEL plans. * Experience working in matrixed, multi-country organizations with decentralized implementation structures.
JOB-6a4cdee496784
Vacancy title:
Monitoring, Evaluation and Learning (MEL) Manager
[Type: FULL_TIME, Industry: Hospitality, and Tourism, Category: Management, Business Operations, Social Services & Nonprofit, Science & Engineering, Farming & Outdoors]
Jobs at:
African Wildlife Foundation (AWF)
Deadline of this Job:
Tuesday, July 21 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Tuesday, July 7 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Position Summary
The MEL Manager is a senior technical role responsible for ensuring that AWF’s monitoring, evaluation, and learning systems produce credible, high-quality, decision-relevant evidence that informs strategy, adaptive management, and governance. The role holder will operationalize AWF’s mission-level Theory of Change and impact framework, steward institutional indicators and data standards, and ensure that MEL systems function as an enterprise-wide decision-support architecture. The MEL Manager will combine advanced data analytics, rigorous data quality assurance, and strong program design expertise to translate field-level evidence into leadership- and Board-ready insights.
Key Responsibilities
Standards, Methodology, and Data Quality Assurance (30%)
- Operationalize and steward AWF’s mission-level Theory of Change and Impact Framework, ensuring consistency across portfolios, landscapes, and countries.
- Manage the Mission Indicator Compendium and enforce indicator governance processes.
- Lead data quality assurance (DQA) processes, including routine data verification, spot checks, audits, and methodological reviews.
- Establish and enforce MEL minimum standards and mandatory design gates for all new projects and programs.
- Ensure compliance with institutional data governance, data protection, and ethical evidence-use protocols.
Systems, Analytics and Evidence Infrastructure (25%)
- Lead the management and continuous improvement of AWF’s data management platform.
- Ensure seamless integration of field data collection tools with institutional databases.
- Work closely with the GIS and spatial analytics team to align spatial data products with institutional MEL frameworks and mission-level impact reporting.
- Maintain institutional dashboards and visualization products designed for reuse and adaptation across internal management, governance, and external reporting needs.
- Ensure interoperability between project-level MEL systems and institutional aggregation frameworks.
Learning, Evaluation, and Knowledge Synthesis (25%)
- Support the implementation of structured learning and reflection cycles across the organization, ensuring evidence is synthesized and applied to adaptive management and decision-making.
- Produce clear, decision-oriented learning products, including briefs, syntheses, and analytical summaries that support evidence-informed management and strategic decision-making.
- Maintain the Mission Knowledge Repository as a structured, accessible system for curating institutional evidence, evaluations, and learning outputs.
- Coordinate high-quality internal and external evaluations and oversee management response processes to ensure accountability and closure of learning loops.
Capacity Building and Technical Advisory (20%)
- Provide technical leadership and advisory support to Landscape MEL Leads and Country Office MEL staff through a matrix management model.
- Lead MEL capacity strengthening initiatives for project teams, partners, and senior leadership, including training on analytics, adaptive management, and evidence use.
- Review and provide technical input into project MEL plans, logframes, and results frameworks during programme design and proposal development.
- Support teams in mapping project indicators to the Mission Results Framework and institutional indicators.
- Convene and facilitate communities of practice for MEL practitioners across AWF.
Key Qualifications
Education
- Master’s degree (required) in Monitoring & Evaluation, Statistics, Data Science, Economics, Environmental Science, Conservation Science, Development Studies, or an applied social science discipline.
- Advanced training in data analytics is a strong advantage.
Experience
- Minimum 8–10 years of progressively responsible MEL experience, with at least 3–5 years in a senior or managerial role within conservation, natural resource management, or international development organizations.
- Demonstrated experience designing and managing enterprise-level MEL systems, including institutional indicators and aggregation frameworks.
- Strong track record in data analytics, including use of statistical software, dashboards, and data visualization for decision-making.
- Proven expertise in data quality assurance, methodological integrity, and evaluation management.
- Experience supporting programme and project design, including results frameworks, theories of change, and MEL plans.
- Experience working in matrixed, multi-country organizations with decentralized implementation structures.
Technical Competencies
- Advanced quantitative and qualitative analysis skills; ability to translate complex data into clear insights.
- Strong understanding of impact evaluation approaches, contribution analysis, and adaptive management.
- Proficiency with data platforms, MEL databases and visualization software (e.g., Power BI, Tableau, or equivalent).
Work Hours: 8
Experience in Months: 12
Level of Education: postgraduate degree
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