AI Transformation Lead - Supply Chain

Responsibilities

• Define a supply chain AI transformation roadmap by identifying and prioritizing high-value use cases that align with business objectives and operational priorities.
• Own and maintain a supply chain AI initiative portfolio, overseeing the lifecycle of solutions from ideation through deployment, scaling, monitoring, and continuous optimization.
• Lead the delivery of AI pilot projects and proofs of concept, partnering with data scientists, engineers, digital teams, and business stakeholders to design, validate, and scale solutions.
• Provide expertise in deploying AI, machine learning, generative AI, and automation solutions, ensuring they deliver measurable business outcomes and operational improvements.
• Partner with data, analytics, and business teams to improve data quality, accessibility, and governance required to enable scalable AI solutions.
• Establish and maintain AI governance frameworks, guardrails, and responsible AI practices to ensure compliant, secure, and scalable adoption across the organization.
• Drive stakeholder engagement, change management, and value realization activities, serving as a trusted advisor on AI opportunities, risks, and emerging capabilities.
• Develop and continuously improve AI playbooks, standards, best practices, and operating models that accelerate solution delivery and adoption.
• Build and facilitate an AI community of practice through workshops, training, knowledge-sharing sessions.
• Track and communicate business value realized through AI initiatives, ensuring alignment with supply chain priorities and executive stakeholder expectations.
• Monitor emerging AI technologies, industry trends, and best practices to identify opportunities that strengthen supply chain capabilities and competitive advantage.
• Collaborate with enterprise architecture and technology teams to evaluate AI platforms, tools, and vendor capabilities that support the supply chain AI strategy.
• Foster strong cross-functional collaboration by building trusted relationships, aligning stakeholders, and driving effective communication to achieve shared business outcomes.
• Establish and embed consistent ways of working, governance, and delivery practices that promote accountability, continuous improvement, and successful execution of AI initiatives.

Qualifications and Experience

• Preferred: Bachelor's degree in supply chain management, Engineering, Computer Science, Data Science, Business, Information Systems, or a related field; advanced degree preferred.
• 5+ years of experience leading AI, digital transformation, advanced analytics, automation, or technology-enabled business initiatives within supply chain, operations, manufacturing, or related domains.
• Strong leadership, facilitation, and stakeholder management skills, with experience leading cross-functional teams, building communities of practice, and driving organizational adoption of new technologies.
• Demonstrated experience successfully deploying AI, machine learning, generative AI, or intelligent automation solutions from concept through production implementation.
• Experience establishing governance frameworks, standards, and controls for AI solutions, while balancing innovation, risk management, and business value.
• Experience building AI adoption frameworks, communities of practice, or training programs initiatives that promote sustainable AI capability development.
• Nice-to-have: Experience within large-scale global organizations recognized for advanced AI, digital, or supply chain capabilities (e.g., leading multinational technology, e-commerce, healthcare, manufacturing, or logistics companies).
• Experience contributing to or supporting enterprise AI centers of excellence, innovation teams, or digital transformation programmes.
• Experience leading AI or Data Science teams.