Senior AI / Digital Transformation Expert

About the role

NTU International is seeking a Senior AI / Digital Transformation Expert to lead the digital transformation of transport governance across the ECOWAS region. The role will support the EU‑funded project “Technical Assistance to ECOWAS in Transport Governance”, delivering AI‑enabled tools and smart transport solutions.

Key responsibilities

• Develop and implement digital transformation strategies and smart transport governance solutions.
• Provide technical assistance for integrating artificial intelligence and digital technologies into transport, logistics, and infrastructure systems.
• Design AI‑enabled monitoring tools, predictive analytics systems, and digital decision‑support platforms.
• Advise on automation, digital interoperability, data governance, and innovation frameworks for transport governance.
• Support digitalisation of corridor monitoring, customs systems, road safety, transport observatories, and infrastructure management.
• Prepare technical specifications, innovation roadmaps, and operational guidelines.
• Deliver workshops, technical training, and capacity‑building activities on AI applications in the transport sector.
• Contribute to monitoring, reporting, and analytical outputs related to digital innovation and AI integration.

Required profile

• Master’s degree in Computer Science, Artificial Intelligence, Information Systems, Digital Innovation, Data Science or a related field.
• Minimum 10 years of professional experience in digital transformation, information systems, AI or smart infrastructure.
• At least 7 years of experience specifically in AI systems, smart governance platforms or digital transformation projects.
• Proven experience working on digitalisation or infrastructure projects in developing countries, preferably in Sub‑Saharan Africa.
• Experience with international development cooperation and donor‑funded programmes.

Required skills

• Artificial Intelligence (AI) integration
• Digital platforms development
• Smart monitoring systems
• Predictive analytics
• Data governance
• Automation
• Digital interoperability