Senior AI / Digital Transformation Expert

About the role

NTU International is seeking a Senior AI / Digital Transformation Expert to lead digital transformation initiatives for the EU‑funded “Technical Assistance to ECOWAS in Transport Governance” project, supporting smart, resilient mobility systems across West Africa.

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, and digital decision‑support platforms.
• Advise on automation, digital interoperability, data governance, and innovation frameworks.
• Support digitalisation of corridor monitoring, customs systems, road safety, transport observatories, and infrastructure management.
• Prepare technical specifications, innovation roadmaps, and operational guidelines.
• Promote emerging technologies and data‑driven approaches to improve regional connectivity.
• Coordinate with ECOWAS institutions, ICT providers, transport agencies, and development partners.
• Deliver workshops, technical training, and capacity‑building activities on AI applications.
• Contribute to monitoring, reporting, and analytical outputs related to digital innovation.

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.
• Proven experience on digitalisation or infrastructure projects in developing countries, preferably in Sub‑Saharan Africa.
• Experience in international development cooperation and donor‑funded programmes.
• At least 7 years of experience with AI systems, smart governance platforms or related digital solutions.

Required skills

• Artificial Intelligence
• Digital Platforms
• Smart Monitoring Systems
• Predictive Analytics
• Data‑driven Decision‑making
• Automation
• Digital Interoperability
• Data Governance
• Innovation Frameworks