DescriptionBelmont 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.