
Assistant Vice President, AI Innovation
1 week ago
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
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