Data Science Senior Manager

• Support development and own execution of RSGT’s Data Science and Advanced Analytics Strategy aligned with corporate and AI transformation objectives.
• Establish the vision, roadmap, and governance framework for leveraging data science across the terminal and group operations.
• Lead the Data Science Centre of Excellence (CoE), fostering collaboration between operations, IT, engineering, finance, commercial, and safety functions.
• Champion a culture of data-driven decision making
  , ensuring adoption of AI/ML solutions by business units.
• Partner with the IT and Digital teams to embed AI-enabled optimization into core port and logistics processes.

Design and oversee development of predictive and prescriptive models for key business domains such as:

• Vessel and berth optimization (ETA prediction, berth planning, quay crane scheduling)
• Terminal Yard and container flow optimization
• Equipment maintenance (predictive maintenance for cranes, trucks, reach stackers)
• Safety and risk analytics (incident prediction, near-miss detection, CCTV image analytics)
• Commercial and finance analytics (pricing, demand forecasting, cost optimization)
• Sustainability analytics (energy usage, carbon footprint modelling, emissions prediction)
• Lead R&D on use of AI, machine learning, computer vision, and natural language processing for terminal and logistics applications.
• Ensure development and deployment of MLOps pipelines for model lifecycle management, monitoring, and scalability.

• Work closely with the Data Engineering and IT teams to define data architecture standards
  , ensuring high-quality, secure, and accessible data.
• Contribute to RSGT’s Data Governance Framework
  , covering data ownership, metadata, lineage, and data quality controls.
• Define and enforce data ethics and AI governance principles consistent with regulatory and ethical standards.
• Partner with cybersecurity to ensure protection of operational, customer, and partner data.

• Build and lead a high-performing Data Science team
  , recruiting top talent in data engineering, AI, and analytics.
• Develop skill-building programs and partnerships with universities, AI institutes, and port technology providers.
• Conduct workshops and training to improve data literacy and AI adoption across business functions.
• Promote cross-functional collaboration and communicate data science impact stories to leadership and the broader organization.

• Define measurable success metrics (ROI, efficiency gain, cost savings, throughput optimization, etc.) for every data science initiative.
• Track and report on business value realized from data-driven initiatives.
• Establish dashboards and insights platforms to communicate results to executive leadership.
• Continuously assess emerging technologies and methods to keep RSGT at the forefront of AI-driven innovation in the port industry.