Position Summary

Supply Chain AI Enablement Lead will drive the adoption, scaling, and impact of AI and intelligent automation across Global Supply Chain. This role ensures that teams understand AI capabilities, generate high-quality demand, execute prioritized initiatives, and deliver the training and change-management needed for sustained value realization of everyday AI.

This individual will combine strong business influencing ability, process expertise, and AI fluency with a solid technical background to partner with a team of AI and automation developers building solutions such as Generative AI apps, intelligent workflows, Agentic AI and automation services.

Position Responsibilities

AI Demand Generation & Business Partnership

• Partner with Plan, Source, Deliver and Regional Supply Chain leaders to identify high-value AI opportunities and shape an actionable demand pipeline.
• Facilitate discovery sessions, process reviews, and value assessments to align opportunities with business priorities.
• Translate operational challenges into clear AI/automation use cases, solution concepts, and ROI projections.

AI & Automation Delivery Leadership

• Partner with IT and business organizations to execute a RPA, GenAI or Agentic AI Solutions
• Manage intake, scoping, sprint planning, and delivery to ensure solutions are scalable, maintainable, and aligned with enterprise AI governance (aligned with emerging AI CoE practices referenced in GO & IT collaboration)
• Partner closely with IT Automation & AI teams, and platform owners to ensure technology readiness, compliance, and security.
• Adopt and assess use of native-AI tools as well as Bolt-on applications leveraged across Supply Chain Function

AI Enablement, Adoption & Training Rollout

• Design and deploy comprehensive training programs to accelerate AI literacy and adoption within operations
• Build enablement assets including playbooks, FAQs, demos, guidelines, and citizen-developer guardrails.
• Establish feedback loops to refine training, tooling, and solution usability across functions.
• Design and deploy training for the Global Supply Chain organization to upskill the talent with AI

Change Management & Value Realization

• Drive change-management plans supporting new AI solutions, ensuring strong stakeholder engagement, communication, and user readiness.
• Track adoption metrics, measuring business impact, and report value delivered to leadership.
• Support cultural transformation toward data-driven and AI-enabled operations.

Strategic Contributions to Global Operations AI Vision

• Contribute to GO's AI roadmap, aligning AI capabilities with long-term operational excellence and innovative goals.
• Stay current on AI/LLM trends, automation platforms, and operational use cases to guide technology evolution and solution design.
• Serve as a visible champion for responsible, secure, valued-driven AI adoption across the enterprise.

The listed responsibilities are an essential but not exhaustive list of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Qualifications

Required

• 8+ years of experience in Global Operations, Supply Chain, Quality, or similar environments.
• Demonstrated ability to influence senior stakeholders and drive cross-functional transformation.
• Strong understanding of Plan, Source and Deliver business processes with strong foundation of tools like SAP, Ariba, Icertis Contract Lifecycle Management etc.
• Strong understanding of operational processes and applied AI/Agentic AI/automation capabilities (LLMs, workflow automation, predictive models, etc.).
• Technical fluency and ability to lead teams across automation development, AI engineering, or low code/automation platforms.
• Experience with RPA, LLMs, orchestration tools, or process mining. (UiPath, Azure Open AI, Microsoft CoPilot Studio, Anthropic)
• Understanding of industry trends of .ai products can drive significant impact through augmentation of tools
• Experience managing global project portfolios, agile teams, and solution delivery lifecycles.

Preferred

• Hands-on experience deploying AI/automation solutions in complex operational environments.
• Familiarity with enterprise AI governance and risk frameworks
• Exposure to MES, QMS, ERP, planning systems, or other operations technologies.
• Lean, Six Sigma, or operational excellence certification.

Leadership Competencies

• Strong executive presence and ability to inspire trust across technical and business teams.
• Ability to simplify complex AI concepts for broad audiences.
• Change-leadership mindset with a focus on adoption and business outcomes.
• High learning agility and comfort navigating ambiguity.

Experience & Education

Typically requires 10+ years of related experience with a Bachelor's degree; or 8+ years with a Master's degree; or a PhD with 6+ years of experience; or equivalent practical experience

The estimated base salary range for the Supply Chain AI Enablement Lead role based in the United States of America is: $118,200 - $177,200. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long-term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.