Supply Chain AI Enablement Lead

Illumina•San Diego, CA

1d•$118,200 - $177,200•Onsite

About The Position

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.

Requirements

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.
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

Nice To Haves

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.
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.

Responsibilities

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.
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
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
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.
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.