Transport Data Science Manager📣 Job Ad

About the Role

Mace is seeking a Transport Data Science Manager to join its team in Riyadh, Saudi Arabia. This full-time position is part of a significant program focused on a mixed-use development encompassing sports, entertainment, arts, and associated infrastructure. As a key delivery partner, Mace requires experienced professionals to lead integrated teams through all project phases. This role is crucial for developing data-driven intelligence within the mobility ecosystem, creating advanced transport data models, AI-enabled insights, and scalable cloud-based data platforms, supported by governance and knowledge management frameworks.

The successful candidate will collaborate with technology vendors, autonomous vehicle providers, system integrators, and internal stakeholders to ensure data platforms and analytics solutions are clearly defined, effectively integrated, and meet high standards of quality and performance. This position offers an opportunity to leverage innovative data science applications to unlock potential within projects and teams.

Key Responsibilities

• Lead the development of integrated transport data strategies across all mobility modes, defining clear use cases, Key Performance Indicators (KPIs), and performance frameworks aligned to business and customer outcomes.
• Deliver advanced analytics and AI solutions, including predictive modelling for demand, ridership, fleet optimisation, traffic management, safety, and customer insights.
• Enable scalable, cloud-based data and AI architectures that support personalised mobility experiences and ensure seamless integration with Autonomous Vehicle (AV) and Mobility as a Service (MaaS) platforms.
• Establish and maintain robust data governance and knowledge management frameworks, ensuring data quality, compliance, traceability, and effective lifecycle management of data assets and models.
• Collaborate towards the common goal of net zero carbon transition, sharing responsibility for the proactive identification and management of associated carbon emissions and reductions during work delivery.

Qualifications and Requirements

• Bachelor's degree in Data Science, Data Engineering, AI/Machine Learning, Transport Systems Engineering, or a related discipline.
• Proven experience of 8+ years in transport data engineering and AI/ML.
• Experience within the GCC region is highly regarded.
• Must meet the necessary visa criteria for the Kingdom of Saudi Arabia.
• Must possess relevant work experience on high-valued projects/programmes for a project management consultancy business, which are required for immigration and client approval.

Required Skills

• Transport Data Science
• Data-driven intelligence
• Transport data models
• AI-enabled insights
• Cloud-based data platforms
• Data governance
• Knowledge management
• Analytics solutions
• Predictive modelling
• Demand forecasting
• Ridership forecasting
• Fleet optimisation
• Traffic management
• Safety analytics
• Customer insights
• AI architectures
• Personalised mobility experiences
• AV integration
• MaaS integration
• Data quality management
• Data compliance
• Data traceability
• Data asset lifecycle management
• Model lifecycle management
• Net zero carbon transition
• Carbon emissions management
• Leadership
• Collaboration
• Communication

Work Environment

This is a full-time position based in Riyadh, Saudi Arabia. Mace is an inclusive employer and welcomes applications from a diverse range of candidates. The company is also open to discussing part-time, flexible, and hybrid working options if suitable for the role.