Road Manager GenAI - 12 Months Contract

Belmont Lavan Ltd

Utrecht, Utrecht, Netherlands Hybrid permanent

Posted: March 9, 2026

Job Description

Belmont Lavan Ltd is seeking a highly motivated and experienced Road Manager GenAI for a 12-month contract. In this role, you will be responsible for overseeing the implementation of Generative AI technologies in our road management projects. You will work closely with cross-functional teams to enhance project outcomes using innovative AI solutions.

Key Responsibilities:

• Lead the development and execution of AI strategies for road management initiatives.
• Collaborate with engineering and technology teams to integrate generative AI tools into project workflows.
• Monitor and analyze project performance, utilizing AI insights to optimize road management processes.
• Ensure compliance with industry standards and regulations while implementing AI technologies.
• Provide training and support to team members on the use of generative AI tools and applications.
• Prepare and present reports on project outcomes and AI effectiveness to stakeholders.
• Translate strategic ambitions into a prioritized, value-driven GenAI and Agentic AI roadmap.
• Drive end-to-end delivery of high-value GenAI use cases, ensuring timely and effective outcomes.
• Ensure clear commitments and accountability across business and tech teams.
• Remove impediments, escalate when necessary, and maintain delivery pressure. - Prepare the organization for a seamless transition to BAU, eliminating dependency on this role.
• Collaborate extensively with senior business and tech stakeholders, including the FEC Global Heads, their MT members and the FEC AI Officer.
• Shape the roadmap for Agentic-AI-enabled workflows across the FEC organization.

Requirements:
• Bachelor's degree in Engineering, Computer Science, or a related field.
• Proven experience in road management or civil engineering projects.
• Strong understanding of generative AI technologies and their applications.
• Excellent project management and organizational skills.
• Ability to analyze complex data and derive actionable insights.
• Skills in communication and collaboration with diverse teams.
• Experience with relevant software and tools used in road management.

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