Senior Crash Data Systems Expert

About the role

NTU International is seeking a Senior Crash Data Systems Expert to lead the design, integration, and management of road crash data systems for an EU‑funded technical assistance project supporting ECOWAS transport governance in West Africa.

Key responsibilities

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

Required profile

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

Required skills

• Database management and integration
• Interoperability frameworks for multi‑source data
• GIS and spatial data analysis
• Road‑safety analytics and data standards
• Digital dashboard development
• Data quality assurance and validation