Transport Data Science Manager

About the role

Mace is seeking a Transport Data Science Manager to lead the creation of data‑driven intelligence for a large mixed‑use development programme in Saudi Arabia. The role will design and deliver advanced transport data models, AI‑enabled insights, and scalable cloud‑based platforms that support mobility services, autonomous vehicles and MaaS solutions.

Key responsibilities

• Define and implement integrated transport data strategies, use cases, KPIs and performance frameworks aligned to business and customer outcomes.
• Develop advanced analytics and AI solutions, including predictive modelling for demand, ridership, fleet optimisation, traffic management, safety and customer insights.
• Build and maintain scalable cloud‑based data and AI architectures that enable personalised mobility experiences and seamless integration with AV and MaaS platforms.
• Establish robust data governance and knowledge‑management frameworks to ensure data quality, compliance, traceability and lifecycle management.
• Collaborate with technology vendors, autonomous‑vehicle providers, system integrators and internal stakeholders to deliver high‑quality, high‑performance solutions.
• Contribute to net‑zero carbon transition goals by identifying and managing associated emissions throughout project delivery.

Required profile

• Bachelor’s degree in Data Science, Data Engineering, AI/ML, Transport Systems Engineering or a related discipline.
• Minimum 8 years of experience in transport data engineering and AI/ML, preferably with GCC project experience.
• Eligibility to work in Saudi Arabia and meet visa criteria required for immigration and client approval.

Required skills

• Data engineering
• AI/ML
• Predictive modelling
• Cloud data platforms
• Data governance