GO AI Enablement Leader, Sr Manager

What if the work you did every day could impact the lives of people you know? Or all of humanity?

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Position Summary:

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

The leader will combine strong business influencing ability, process expertise, and AI fluency with a solid technical background to manage a team of AI and automation developers building solutions such as Generative AI apps, intelligent workflows, and automation services for Global Operations.

Position Responsibilities:

AI Demand Generation & Business Partnership

• Partner with Supply Chain, Manufacturing, and Quality 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

• Lead and mentor a cross-functional team of AI developers, automation engineers, and solution architects delivering Generative AI, automation, and decision-support capabilities.
• 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.

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 GO Analytics 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, measure 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 innovation 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, value‑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, Manufacturing, Quality, or similar environments.
• Demonstrated ability to influence senior stakeholders and drive cross-functional transformation.
• 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, GitHub Copilot)
• Understanding of industry trends of .ai products than can drive significant impact through augmentation of tools
• Experience managin