Sightsavers is an international organisation that changes lives for the long term. We work in more than 30 countries to eliminate avoidable blindness and support people with visual impairments to live independently.
We do what we do because 80 per cent of blindness in the world is avoidable, and we think that’s astoundingly unfair.
We do it because p...
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Lead the requirements gathering, design, configuration, and deployment of the DHIS2 Tracker tool for the economic empowerment programme.
Build and optimise programme rules, data elements, option sets, workflows, and analytics to support individual and aggregate reporting.
Pilot and validate the tracker with country teams; oversee user acceptance testing and iterative improvements.
Establish and enforce data quality rules, validation constraints, completeness checks and exception monitoring.
Define data management protocols and ensure alignment with organisational data governance.
Implement privacy-by-design: data minimisation, role-based access, secure exports, and ethical handling of personally identifiable data.
Work with DART Data Governance team to connect DHIS2 Tracker data to the Azure ODS/analytics layer.
Ensure metadata, data catalogues and indicator calculations align to organisational standards.
Work with DART Data Use team to develop analytics tools for data quality and analysis, and to support project monitoring by MEL and programme management unit.
Advise on current DHIS2 aggregate build and best practice across Sightsavers programmes for data capture.
Lead or contribute to DHIS2 upgrades, integrations, and system enhancements.
Advise on current DHIS2 aggregate build and best practice across Sightsavers programmes for data capture.
Lead or contribute to DHIS2 upgrades, integrations, and system enhancements.
Skills and Experience
Demonstrable hands-on DHIS2 experience delivering Tracker/Event programmes at scale.
Either considerable working experience as a DHIS2 development lead, or a recognised qualification/degree in information systems, data management, computer science, public health informatics or similar.
Strong understanding of designing and organising data structures, including defining and managing data elements and their relationships.
Experience with unique identifier (ID/key) management and applying quality assurance methods to ensure accuracy and reliability of individual-level data.
Experience working with multi-country programmes and diverse, non-technical user groups.
Understanding of data privacy/ethics and safeguarding in systems that hold personally identifiable data.
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