Assistant Vice President, AI Innovation

2 weeks ago

East Region, Singapore Singapore Post Limited Full time $150,000 - $250,000 per year

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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