Job Description
This role will be responsible for driving AI-led innovation to transform how the organisation delivers value across operations, customer experience, and workforce efficiency. Key responsibilities include identifying, designing, and scaling AI use cases, in close collaboration with business and technical teams.
A strong emphasis will be placed on leveraging AI technologies to solve business challenges. The role is pivotal in aligning AI initiatives with business strategy and identifying high-value opportunities.
Develop and Drive AI Strategy
- Define and continuously refine the AI strategy to align with broader business objectives
- Prioritise initiatives based on impact, feasibility, and strategic value, ensuring AI investments are targeted and effective.
Drive AI-Led Innovation
- Identify, assess, and prioritise AI use cases that address core business challenges.
- Lead the implementation of AI solutions to enhance efficiency, reduce costs, and unlock new value.
Translate Business Needs into AI Solutions
- Work with stakeholders to frame problems, define success metrics, and ensure AI initiatives are aligned with overall business goals
- Serve as the bridge between business and technical teams to ensure practical, scalable solutions.
Accelerate AI Deployment and Value Realisation
- Lead rapid prototyping and pilot programs to validate high-potential AI applications.
- Oversee rollout of successful pilots, ensuring measurable impact and cross-functional coordination.
Enable Change and Adoption
- Drive change management efforts to support the transition to AI-enabled workflows.
- Address adoption barriers, facilitate training and communication, and ensure employee engagement.
- Foster curiosity, experimentation, and openness to AI-driven ways of working across teams
- Champion internal knowledge sharing, idea generation, and innovation showcases to build AI fluency across the organisation.
Requirement
- Bachelor's degree in Data Science, Computer Science, Engineering, or a related field
- 58 years experience in data analytics or machine learning roles, ideally within logistics, supply chain, or operations.
- Demonstrated success using GCP tools including BigQuery, for predictive modeling and data pipeline orchestration.
- Experience managing projects that bridge analytics with strategic decision-making across business units
