POSITION SUMMARYThe Supply Chain AI Transformation Lead will accelerate the practical adoption of artificial intelligence across the Supply organization by identifying high-value opportunities, leading AI-enabled process improvements, and driving solutions from concept through implementation and sustained adoption.
The role will partner across Strategic Sourcing, Procurement, Supplier Management, Contracts, Materials and Inventory, Warehousing, Logistics, and Supply Operations. The Lead will serve as the business owner and translator between Supply and enterprise Digital, Data, AI, Cybersecurity, and Technology teams, ensuring initiatives solve meaningful business problems, operate within appropriate controls, and deliver measurable value.
This is a hands-on transformation role. The individual is expected to lead through influence, coordinate cross-functional delivery, embed new ways of working and supporting the Supply Technology Roadmap & Blueprint.
PRIMARY DUTIES AND ACCOUNTABILITIES- Partner with Supply leaders to identify and prioritize AI, analytics, and automation opportunities.
- Assess use cases on value, feasibility, data readiness, scalability, and risk.
- Build business cases for priority initiatives, applying AI to defined business problems and business value
- Lead selected initiatives from proof of concept through implementation, defining requirements, outcomes, and KPIs.
- Coordinate Supply experts and enterprise partners, managing risks, dependencies, and decisions.
- Redesign Supply processes to embed AI in normal workflows, with appropriate human review, controls, and traceability.
- Set criteria to scale, modify, or discontinue pilots, and capture lessons learned.
- Develop change-management and adoption plans, including training, job aids, and playbooks, and build employee AI fluency.
- Monitor adoption and address barriers to sustained use.
- Set baseline measures and KPIs, track realized benefits, and validate value with Finance.
- Report on portfolio progress, value, and risks, and identify successful solutions to scale across Supply.
- Apply enterprise AI governance, cybersecurity, privacy, and risk requirements, embedding controls, documentation, and human oversight.
- Escalate AI risks and exceptions, and safeguard sensitive supplier, commercial, and company information.
- Serve as Supply's primary AI business partner to Digital, Technology, Data, Cybersecurity, Finance, Legal, HR, and Risk, translating between business and technical teams.
- Support evaluation of external AI solutions and partners.
- Supply focal point in the Responsible AI (RAI) process and governance
MINIMUM QUALIFICATIONS- Bachelor's degree in Supply Chain, Business, Engineering, Technology, Analytics, or a related field.
- 7 or more years of relevant experience in Supply Chain, Procurement, Operations, Transformation, Digital, Analytics, Technology, or a related discipline.
- Experience leading cross-functional projects or transformation initiatives.
- Working knowledge of procurement and/or end-to-end supply-chain business processes.
- Demonstrated ability to analyze business processes and translate business needs into technology-enabled solutions.
- Practical understanding of generative AI, machine learning, advanced analytics, automation, and emerging agentic AI capabilities.
- Experience developing business cases, success measures, and performance reporting.
- Strong project or program management, written communication, facilitation, and stakeholder-management skills.
- Demonstrated ability to influence stakeholders and deliver results across organizational boundaries.
PREFERED QUALIFICATIONS- Experience in energy, power generation, nuclear, utilities, manufacturing, industrial, or another asset-intensive business.
- Experience with Microsoft 365 Copilot, Power Platform, SAP, procurement platforms, analytics tools, or comparable enterprise technologies.
- Experience delivering digital or AI-enabled process improvements.
- Experience in sourcing, procurement, contracts, supplier management, materials, inventory, warehousing, or logistics.
- Familiarity with Responsible AI, cybersecurity, privacy, data management, and technology-risk principles.
- Lean, Six Sigma, PMP, Agile, supply-chain, procurement, analytics, or related certification.
