Technical Advisor, Polio Data and Information Management

About the role

The Technical Advisor, Polio Data and Information Management provides strategic and technical leadership for monitoring, evaluation, data quality, and data use across the AFGHS‑FHI 360 Polio Activity. The role ensures consistent collection, validation, analysis, interpretation, and reporting of performance indicators and translates surveillance data into actionable information for program management and donor reporting.

Key responsibilities

• Establish and maintain standardized approaches for indicator definitions, data collection, verification, aggregation, and reporting across multiple countries.
• Lead country, regional, and global analyses of polio surveillance and program data to identify gaps, geographic disparities, and data‑quality concerns.
• Develop analytical tools, dashboards, data‑review approaches, and guidance to strengthen evidence use across the global polio portfolio.
• Provide technical assistance, mentoring, and capacity‑strengthening to country teams on data collection, quality, analysis, visualization, and use.
• Represent FHI 360’s polio monitoring, evaluation, and data priorities with key stakeholders such as GPEI, UNICEF, CDC, and the U.S. Department of State.

Required profile

• Strong technical knowledge of polio monitoring, evaluation, and surveillance systems, including AFP and environmental surveillance.
• Demonstrated ability to work on complex monitoring, evaluation, and data‑analysis challenges at country, regional, and global levels.
• Experience leading the development, validation, analysis, and reporting of multi‑country project indicators.
• Analytical judgment to distinguish true surveillance performance gaps from data‑quality issues and to formulate evidence‑based recommendations.

Required skills

• Data quality assessment and improvement methodologies.
• Data visualization and dashboard development.
• Surveillance performance review and analytical reporting.
• Technical assistance and capacity‑building for data management.