Senior Crash Data Systems Expert

About the role

NTU International is seeking a Senior Crash Data Systems Expert to lead the design, deployment, and management of integrated road crash data systems for an EU‑funded technical assistance project in West Africa. The role will support ECOWAS institutions and regional partners in building harmonised, interoperable road safety monitoring platforms.

Key responsibilities

• Develop and deploy integrated road crash data management systems across the ECOWAS region.
• Provide technical assistance on crash data collection, database management, and interoperability frameworks.
• Integrate police, hospital, licensing, insurance and road‑infrastructure databases into unified platforms.
• Advise on harmonised crash data templates, data standards and road‑safety analytics methodologies.
• Create digital dashboards, reporting tools and monitoring systems for evidence‑based decision‑making.
• Prepare technical specifications, operational procedures, analytical reports and system assessments.
• Ensure data quality, validation and verification mechanisms.
• Coordinate with transport authorities, police, health agencies, ICT providers and development partners.
• Deliver workshops, training and capacity‑building activities on crash data systems.

Required profile

• Master’s degree in information systems, transport engineering, statistics, data analytics, road safety, public health or a related field.
• Minimum 10 years of professional experience in road‑safety data systems, transport analytics or digital monitoring systems.
• At least 7 years of experience specifically with crash data systems, data interoperability and integrated databases.
• Proven experience on transport or road‑safety projects in developing countries, preferably Sub‑Saharan Africa.
• Experience with international development cooperation and donor‑funded programmes.

Required skills

• Database management and integration
• Data interoperability frameworks
• GIS and spatial data handling
• Digital dashboard development
• Road‑safety analytics and reporting
• Data quality assurance and validation
• Crash data collection methodologies
• Data standards and harmonisation