Background information about the job or company (e.g., role context, company overview)

Amref Health Africa in Kenya is the country programme office of Amref Health Africa, Africa’s largest International Health NGO. This is the largest and oldest country programme in Africa with an average annual budget of USD 40million. We have 19 innovative products and project models that have successfully been implemented and transformed 5.4 million lives...

Responsibilities or duties

Strategic Learning & Impact Leadership

• Lead the development and implementation of a programme-wide Learning, Impact and Adaptation Framework, aligned with programme objectives and donor requirements.
• Ensure learning is systematically embedded across the programme lifecycle - from design and implementation to scale.
• Guide the use of evidence to inform decision-making, course correction, and innovation across countries.
• Lead the design and application of gender-transformative and inclusion-focused analytical tools, including a Gender Transformative Marker, to track and strengthen gender integration across the programme lifecycle.

MEL Oversight & Quality Assurance

• Provide technical oversight to country-level MEL systems to ensure consistency, quality, and comparability across countries.
• Provide technical oversight for baseline, mid-term, and end-term evaluations, including coordination with government counterparts, independent evaluators, External Reference Groups, and country teams.
• Guide the design and implementation of participatory institutional, service mapping, and facility readiness assessments to identify gaps and inform targeted capacity strengthening and service improvements.
• Set standards for data quality, ethics, inclusion, and safeguarding in data collection and use.
• Support the design and implementation of impact assessments, evaluations, and learning studies.

Data Use, Sense-Making & Knowledge Translation

• Lead structured learning and reflection processes e.g. learning reviews, after-action reviews, pause-and-reflect sessions.
• Translate complex data into clear, actionable insights for diverse audiences, including programme teams, partners, and donors.
• Ensure insights are effectively communicated through appropriate knowledge products such as dashboards, publications, briefs, presentations and learning notes.
• Guides the strategic use of evidence to inform decision-making, course correction, and innovation across countries.

Stakeholder Engagement & Influence

• Engage donors, government counterparts, and partners to align learning priorities and manage expectations and strengthen the use of evidence for decision making.
• Facilitate cross-country and cross-partner learning communities to promote knowledge exchange and shared problem-solving.
• Promote co-creation of learning with implementing partners and communities, ensuring that learning processes are inclusive and contextually grounded.

Capacity Strengthening

• Strengthen MEL and learning capacity across partners and country teams through coaching, practical tools, and ongoing technical guidance.
• Foster a culture of learning, reflection, and accountability across the programme.

Qualifications or requirements (e.g., education, skills)

Education and Experience

• Master’s degree in Epidemiology, Public Health, Development Studies, Data Science, or related field.
• Minimum 8-10 years’ experience in learning, impact measurement, MEL, or adaptive management in complex programmes.
• Proven experience leading MEL/learning across multi-country or multi-partner programmes.
• Strong understanding of complex systems, adaptive programming, and data-informed decision-making.
• Experience working with diverse stakeholders, including donors, governments, NGOs, and communities.

• Lead the development and implementation of a programme-wide Learning, Impact and Adaptation Framework, aligned with programme objectives and donor requirements.
• Ensure learning is systematically embedded across the programme lifecycle - from design and implementation to scale.
• Guide the use of evidence to inform decision-making, course correction, and innovation across countries.
• Lead the design and application of gender-transformative and inclusion-focused analytical tools, including a Gender Transformative Marker, to track and strengthen gender integration across the programme lifecycle.
• Provide technical oversight to country-level MEL systems to ensure consistency, quality, and comparability across countries.
• Provide technical oversight for baseline, mid-term, and end-term evaluations, including coordination with government counterparts, independent evaluators, External Reference Groups, and country teams.
• Guide the design and implementation of participatory institutional, service mapping, and facility readiness assessments to identify gaps and inform targeted capacity strengthening and service improvements.
• Set standards for data quality, ethics, inclusion, and safeguarding in data collection and use.
• Support the design and implementation of impact assessments, evaluations, and learning studies.
• Lead structured learning and reflection processes e.g. learning reviews, after-action reviews, pause-and-reflect sessions.
• Translate complex data into clear, actionable insights for diverse audiences, including programme teams, partners, and donors.
• Ensure insights are effectively communicated through appropriate knowledge products such as dashboards, publications, briefs, presentations and learning notes.
• Guides the strategic use of evidence to inform decision-making, course correction, and innovation across countries.
• Engage donors, government counterparts, and partners to align learning priorities and manage expectations and strengthen the use of evidence for decision making.
• Facilitate cross-country and cross-partner learning communities to promote knowledge exchange and shared problem-solving.
• Promote co-creation of learning with implementing partners and communities, ensuring that learning processes are inclusive and contextually grounded.
• Strengthen MEL and learning capacity across partners and country teams through coaching, practical tools, and ongoing technical guidance.
• Foster a culture of learning, reflection, and accountability across the programme.

• Learning
• Impact Measurement
• MEL (Monitoring, Evaluation, and Learning)
• Adaptive Management
• Gender-transformative and inclusion-focused analytical tools
• Data Quality Standards
• Data Ethics
• Data Inclusion
• Safeguarding
• Knowledge Translation
• Stakeholder Engagement
• Capacity Building
• Coaching
• Technical Guidance

• Master’s degree in Epidemiology, Public Health, Development Studies, Data Science, or related field.
• Minimum 8-10 years’ experience in learning, impact measurement, MEL, or adaptive management in complex programmes.
• Proven experience leading MEL/learning across multi-country or multi-partner programmes.
• Strong understanding of complex systems, adaptive programming, and data-informed decision-making.
• Experience working with diverse stakeholders, including donors, governments, NGOs, and communities.