Technical Advisor, Monitoring, Evaluation and Learning (MEL)

Overview

The Clinton Health Access Initiative, Inc. (CHAI)

is a global health organization committed to saving lives and reducing the burden of disease in low-and middle-income countries while strengthening the capabilities of governments and the private sector in those countries to create and sustain high-quality health systems that can succeed without our assistance. For more information, please visit: http://www.clintonhealthaccess.org.;The Government of Rwanda (GoR) strives to achieve Universal Health Coverage (UHC) by enabling equitable access to quality health services for the population as outlined in the Fifth Health Sector Strategic Plan (HSSP V). This commitment has been made against a backdrop of rising health care costs and uncertainty around the future availability of donor funding and calls for improved health sector sustainability. Acknowledging this, the Government aims to employ effective, equitable, efficient, and sustainable health care financing and systems strengthening, putting an emphasis on primary health care as the cornerstone of a strong and sustainable health system.CHAI Rwanda’s Health System Strengthening (HSS) programs work on a day-to-day basis with Government leadership in the Ministry of Health (MoH) and the Rwanda Social Security Board (RSSB). The goal of those programs is to support the Government to accelerate progress towards UHC by ensuring the sustainable delivery of quality, essential health services. This includes work to design and implement national Primary Health Care (PHC) reforms from health center level down to community health, to increase health workforce availability, to prioritize and sustainably finance essential services, and to support improved management, financing, and delivery of quality primary health care.

Position overview

CHAI

CHAI currently seeks an experienced and highly analytical Senior Monitoring, Evaluation, and Learning (MEL) Officer to work with the Ministry of Health (MoH) National Health Intelligence Center (NHIC) to lead the development, implementation, and continuous improvement of the Monitoring, Evaluation, and Learning framework for AI and digital health initiatives.;The Senior MEL Officer will play a central role in tracking progress, evaluating outcomes, and documenting learnings across NHIC’s programs, including the AI Lab. S/He will ensure that all interventions are guided by data-driven insights, meet quality standards, and generate evidence to inform strategic decision-making at the national level.The role involves working closely with AI engineers, data scientists, and program leads to establish performance indicators, design evaluation methodologies, manage data collection systems, and synthesize findings for reporting and learning. The Officer will also lead efforts to document success stories, challenges, and lessons learned to strengthen institutional knowledge and program effectiveness.S/He will be seconded to the National Health Intelligence Center (NHIC) and will report to the NHIC Data Science lead and in parallel to the CHAI digital health program manager, while collaborating with MoH departments, Rwanda Biomedical Center (RBC), and implementing partners to align MEL activities with national health priorities and reporting systems.;The Senior MEL Officer will play a critical role in ensuring accountability, learning, and continuous improvement across all NHIC initiatives, helping to translate data into actionable insights that advance Rwanda’s digital health and AI-driven transformation agenda.

Job Description

The key functions and deliverables of this role will include:

• Lead the design and operationalization of the NHIC MEL framework, ensuring alignment with MoH and national health monitoring systems.
• Develop key performance indicators (KPIs) for NHIC programs and AI projects, focusing on effectiveness, efficiency, and sustainability.
• Establish standardized data collection, management, and reporting systems across projects.
• Support development of dashboards and visualization tools for real-time performance tracking.
• Coordinate data collection activities in collaboration with NHIC teams, MoH departments, and implementing partners.
• Ensure data accuracy, completeness, and consistency through regular verification and quality checks.
• Manage centralized data repositories for NHIC’s MEL activities.
• Support integration of MEL data with national digital health platforms (e.g., DHIS2, HMIS, eBuzima).Lead or coordinate internal and external evaluations of NHIC programs and AI Lab initiatives.
• Conduct trend analysis and assess progress toward strategic objectives.
• Document best practices, innovations, and key learnings to support continuous improvement.
• Facilitate after-action reviews, learning sessions, and knowledge-sharing events to promote adaptive management.Develop periodic progress reports (monthly, quarterly, annual) for NHIC leadership and partners.
• Prepare summary briefs and presentations highlighting achievements, challenges, and lessons learned.
• Ensure that MEL findings are translated into actionable recommendations and inform decision-making.
• Support preparation of donor reports and project performance summaries.Build capacity of NHIC staff and partners in MEL concepts, data use, and results-based management.
• Mentor junior staff and interns in data collection, analysis, and reporting.
• Develop MEL training materials and standard operating procedures.Collaborate with MoH, and partner organizations to ensure coherence of MEL activities.
• Represent NHIC in national and regional MEL and digital health coordination forums.
• Support integration of NHIC MEL data into national health performance reviews.

Required Qualifications

Qualifications and Requirements

• Master’s degree in public health, Epidemiology, Statistics, Data Science, Health Informatics, or related field.
• At least 5 years of progressive experience in monitoring, evaluation, and learning for health or digital health programs.
• Proven experience in developing MEL frameworks, indicators, and data collection tools.
• Strong analytical and quantitative skills, including proficiency in data visualization and statistical analysis.
• Experience with health information systems such as DHIS2, OpenMRS, KoboToolbox, or Power BI.
• Excellent writing, reporting, and presentation skills.
• Demonstrated ability to work with multidisciplinary teams and coordinate across institutions.
• Strong commitment to evidence-based decision-making and accountability.

How to apply

Interested candidates

should apply through Technical Advisor, AI Engineer. Only shortlisted candidates will be contacted.In compliance with the data protection law of Rwanda and by submitting your application and CV, you explicitly consent to the collection, processing, and storage of your personal data by Clinton Health Access Initiative for the sole purpose of managing and conducting the recruitment process for the position you have applied for.