Country

Rwanda

City

Kigali

Type

Full Time

Program (Division)

Country Programs - Rwanda

Telecommute

No

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to our mission of saving lives and reducing the burden of disease in low-and middle-income countries. We work at the invitation of governments to support them and the private sector to create and sustain high-quality health systems. 

CHAI was founded in 2002 in response to the HIV/AIDS epidemic with the goal of dramatically reducing the price of life-saving drugs and increasing access to these medicines in the countries with the highest burden of the disease. Over the following two decades, CHAI has expanded its focus. Today, along with HIV, we work in conjunction with our partners to prevent and treat infectious diseases such as COVID-19, malaria, tuberculosis, and hepatitis. Our work has also expanded into cancer, diabetes, hypertension, and other non-communicable diseases, and we work to accelerate the rollout of lifesaving vaccines, reduce maternal and child mortality, combat chronic malnutrition, and increase access to assistive technology. We are investing in horizontal approaches to strengthen health systems through programs in human resources for health, digital health, and health financing. With each new and innovative program, our strategy is grounded in maximizing sustainable impact at scale, ensuring that governments lead the solutions, that programs are designed to scale nationally, and learnings are shared globally. 

At CHAI, our people are our greatest asset, and none of this work would be possible without their talent, time, dedication and passion for our mission and values. We are a highly diverse team of enthusiastic individuals across 40 countries with a broad range of skillsets and life experiences. CHAI is deeply grounded in the countries we work in, with majority of our staff based in program countries. Learn more about our exciting work: http://www.clintonhealthaccess.org

CHAI is an Equal Opportunity Employer, and is committed to providing an environment of fairness, and mutual respect where all applicants have access to equal employment opportunities. CHAI values diversity and inclusion, and recognizes that our mission is best advanced by the leadership and contributions of people with diverse experience, backgrounds, and culture.

Position Overview:

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 Fourth Health Sector Strategic Plan (HSSP IV). 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 implementing 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.

CHAI currently seeks an experienced and highly analytical Technical Advisor 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 Technical Advisor will play a central role in tracking progress, evaluating outcomes, and documenting learnings across NHIC’s programs, including the Artificial Intelligence (AI) Lab. They 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 Technical Advisor will also lead efforts to document success stories, challenges, and lessons learned to strengthen institutional knowledge and program effectiveness.

The Technical Advisor 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 Technical Advisor 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.

The key functions and deliverables of this role will include:

1. MEL Framework Development and Implementation

• 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.

2. Data Collection, Management, and Quality Assurance

• 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).

3. Evaluation and Learning

• 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.

4. Reporting and Communication

• 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.

5. Capacity Building and Technical Support

• 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.

6. Coordination and Partnership Engagement

• 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.

• Master’s degree in public health, Epidemiology, Statistics, Data Science, Health Informatics, or related field.
• At least 6 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.

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