Assistant Vice President, AI Innovation

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

• 5–8 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