The Data FI Kenya Monitoring, Evaluation & Learning (MEL) Lead is a critical senior role responsible for providing high-level technical leadership and support to the National Malaria Control Program (NMCP) in Kenya. This involves advanced malaria analytics, surveillance performance review, strategic data interpretation, and translating epidemiological findings into national policy and M&E frameworks. The MEL Lead will also be responsible for project technical leadership, team mentorship, and ensuring high-quality deliverables across partners and government counterparts.
Primary Duties and Responsibilities
- Lead Data.FI project support offered to the National Malaria Control Program (NMCP) in national and subnational malaria analytics, including epidemiological profiling, surveillance performance reviews, and strategic interpretation of routine and community-level malaria data.
- Support NMCP in translating analytical findings into actionable policy recommendations, contributing to the development or evolution of national malaria policies, strategic plans, malaria program integration, and M&E frameworks.
- Support the NMCP in the production of malaria epidemiology and control profiles, ensuring data-driven targeting of interventions and improved program effectiveness.
- Provide technical leadership for malaria investment cases, including consolidation of funding requests, alignment with national priorities, and coordination of multi-stakeholder contributions.
- Mentor multi-disciplinary technical teams, ensuring high-quality deliverables, coherent work planning, and effective coordination across partners and government counterparts.
- Support health information system strengthening efforts, including malaria system assessments, point of care system workflows, data capture review, data quality assurance, and the development of relevant reporting guidelines.
- Design and implement evaluation protocols, data quality assessments, and research studies with the malaria program among other domains.
- Conduct advanced statistical analyses using tools such as Stata, R, and Power BI, and translate outputs into accessible insights for policymakers, donors, and technical partners.
- Produce high-quality reports, policy briefs, and evidence summaries to inform strategic decisions at national and donor levels.
- Engage with national programs, donors, and financing mechanisms, including participation in Global Fund coordinating bodies, oversight structures, and technical working groups.
- Support malaria surveillance and cross-country data quality improvements.
- Contribute to publications, knowledge products, and technical evidence generation.
Required Qualifications
- Master’s degree in Biometry, Statistics, Epidemiology, Public Health, or a related quantitative field.
- Minimum of 12–15 years of progressively responsible experience in malaria surveillance, M&E, health systems strengthening, or related public health domains.
- Demonstrated expertise in malaria program analytics, routine surveillance strengthening, and translation of evidence into national strategy and policy.
- Proven experience leading comprehensive malaria situation analyses and contributing to national malaria policy, strategy, and M&E framework development.
- Strong familiarity with National Malaria Control Program and Global Fund processes, including leading or contributing to funding requests, performance frameworks, and strategic alignment with donor priorities.
- Advanced proficiency in statistical and analytical tools (Stata, R, Power BI) with the ability to design, execute, and interpret complex analyses.
- Demonstrated leadership experience managing multi-disciplinary technical teams and coordinating across government, donor, and implementing partners.
- Experience supporting CRVS system strengthening, including data quality assessment, system reviews, and vital statistics reporting.
- Track record of delivering multi-country technical support, particularly in malaria surveillance, routine data quality, or HIS strengthening.
- Strong research and publication record, including contributions to high-impact peer-reviewed journals.
- Excellent stakeholder engagement, donor coordination, and communication skills with the ability to translate technical findings for diverse audiences.
- Ability to design and implement evaluation studies, systematic reviews, and data quality assessments across health programs.
- Membership in relevant professional bodies (e.g., International Biometric Society) or participation in national/regional oversight committees is an added advantage.
