Transport Data Science Manager
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Key skills for this role
Role Overview
This opportunity is for a bid and is not yet a secured role.
The project is a major mixed-use development in Saudi Arabia with sports, entertainment, arts, and associated infrastructure.
The role will lead data-driven intelligence across a transport and mobility ecosystem.
Key Skills for This Role
Full Job Posting
Opportunity overview
This opportunity is for a bid and is not yet a secured role.
The project is a major mixed-use development in Saudi Arabia with sports, entertainment, arts, and associated infrastructure.
The role will lead data-driven intelligence across a transport and mobility ecosystem.
Responsibilities
- Lead integrated transport data strategies across mobility modes, defining use cases, KPIs, and performance frameworks.
- Deliver predictive models and AI solutions for demand, ridership, fleet optimization, traffic management, safety, and customer insights.
- Enable scalable cloud-based data and AI architectures with integration to autonomous vehicle and MaaS platforms.
- Establish data governance and knowledge management frameworks for quality, compliance, traceability, and lifecycle management.
- Collaborate with technology vendors, autonomous vehicle providers, system integrators, and internal stakeholders.
- Support proactive identification and management of carbon emissions and reductions during delivery.
Required qualifications
- Bachelor’s degree in data science, data engineering, AI/machine learning, transport systems engineering, or a related discipline.
- At least 8 years of experience in transport data engineering and AI/ML.
- Experience working on high-value projects or programmes for a project management consultancy business.
Preferred qualifications
- GCC experience is highly regarded.
Work arrangements
- Part-time, flexible, and hybrid working options may be discussed if suitable for the role.
Employer values
The employer emphasizes safety, client focus, integrity, opportunity, continuous improvement, and inclusive collaboration.
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