Principal Advisor at Resolve to Save Lives (RTSL)
Resolve to Save Lives (RTSL) is a global health organization that aims to save millions of lives by reducing preventable deaths from cardiovascular disease and preventing infectious disease epidemics.
Position Purpose
Despite decades of investment in public health surveillance infrastructure across Africa, a fundamental integration gap persists:
data generated across disease programs, laboratory networks, emergency operations systems, and health facilities remains largely siloed.
- These systems were designed to serve individual programs, not to support the cross-cutting intelligence functions that effective epidemic preparedness and response require.
- When outbreaks emerge, the institutions responsible for detection and response are assembling a picture from fragmented, delayed, and inconsistent information a structural limitation with direct consequences for decision-making speed and quality.
Resolve to Save Lives works with six African countries to address this through Collaborative Surveillance:
- an approach that helps national public health institutes (NPHIs) and ministries of health (MOH) to build the integrated systems, governance frameworks, and institutional practices required to bring multisectoral data together in support of timely, evidence-based decision-making.
Core Duties and Responsibilities
This position reports to the Director of Epidemic Intelligence and manages a headquarters-based team with responsibilities for accompanying countries to bridge the gap between public health decision-making needs and the appropriate integrated data architecture.
Skills & abilities:
Understanding of how artificial intelligence is being applied (and misapplied) in low- and middle-income country health systems, including practical judgment about when AI adds value and when it introduces risk.
- Familiarity with integrated public health surveillance systems, including working knowledge of DHIS2 and integrated disease surveillance and response (IDSR) approaches.
- Familiarity with data architecture concepts - including data integration, interoperability, and data governance - sufficient to meaningfully guide strategy and challenge technical assumptions, without necessarily being an engineer.
- Strong leadership presence and interpersonal communication skills, including the ability to build trust with senior government counterparts, navigate institutional complexity, and represent RTSL credibly in global technical spaces.
- Fluency in English; proficiency in French or Portuguese is an asset.
Experience:
At least 12 years of experience at the intersection of digital health and public health in Africa, with demonstrated understanding of both the technical and institutional dimensions of health information systems
- Experience working directly with governments on implementation of digital transformation, surveillance system design, or health data governance.
- Experience in product design, product management or product leadership - defining and driving the development of digital tools or systems through iterative, user-centered processes.
- Demonstrated experience managing diverse teams, including direct supervision of technical staff.
- Experience with program management, budget management, and contracting in international development or global health contexts.
Other:
Ability and willingness to travel up to 30%
Strongly Preferred Qualifications:
Familiarity with data governance frameworks and legal/policy dimensions of health data, including data sharing agreements and institutional governance for multi-sector data systems.
- Experience applying and facilitating design thinking methodologies and Agile implementation approaches to co-design and co-develop solutions with government counterparts.
- Experience with change management in large institutional or government settings.
- Familiarity with emerging trends in global health financing for digital health and surveillance, and experience positioning technical programs with bilateral or multilateral donors.
Required Qualifications
Education:
- Advanced Degree in Health Informatics, Computer Science, Data Science, or a closely related field.
Location: Remote
Deadline: Not Specified
How to Apply
Interested Applicant can apply via this link
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