AI Enablement, Manufacturing Lead
About The Position
AI Enablement, Manufacturing Lead sits at the forefront of Illumina’s AI transformation—driving the adoption, scale, and real‑world impact of AI and intelligent automation across Instrument and Consumables Manufacturing within our life sciences business. In this highly visible role, you will help translate cutting‑edge AI innovation into everyday operational advantage, enabling teams to understand what’s possible, generate high‑value demand, and deliver prioritized solutions that matter. You will serve as a catalyst for change—championing training, enablement, and adoption so AI becomes seamlessly embedded in how work gets done. Blending strong business influence, operational expertise, and AI fluency with a solid technical foundation, you will partner closely with AI and automation developers to bring to life Generative AI applications, intelligent workflows, agentic AI, and automation services. This is a unique opportunity to shape how AI scales across manufacturing at a company whose work advances human health globally.
Requirements
- 8+ years of experience in Global Operations, Manufacturing, Quality, or related environments.
- Demonstrated ability to influence senior stakeholders and drive cross‑functional transformation.
- Strong understanding of life sciences manufacturing processes and systems, including LIMS, EAM, Industry 4.0, Digital Twin, and OT environments.
- Solid understanding of applied AI, agentic AI, and automation capabilities (e.g., LLMs, workflow automation, predictive models).
- Technical fluency to lead and partner across AI engineering, automation development, and low‑code platforms.
- Experience with RPA, LLMs, orchestration tools, or process mining (e.g., UiPath, Azure OpenAI, Microsoft Copilot Studio, Anthropic).
- Experience managing global project portfolios, agile teams, and end‑to‑end solution delivery lifecycles.
Nice To Haves
- Hands‑on experience deploying AI and automation solutions in complex operational environments.
- Familiarity with enterprise AI governance, risk management, and compliance frameworks.
- Exposure to MES, QMS, ERP, planning systems, or related manufacturing technologies.
- Lean, Six Sigma, or operational excellence certification.
Responsibilities
- Partner with manufacturing sites and value streams to identify high‑value AI and automation opportunities and shape an actionable demand pipeline.
- Facilitate discovery sessions, process reviews, and value assessments to align opportunities with operational priorities.
- Translate operational challenges into well‑defined AI and automation use cases, solution concepts, and ROI projections.
- Partner with IT and business stakeholders to execute RPA, Generative AI, and Agentic AI solutions.
- Lead intake, scoping, sprint planning, and delivery to ensure solutions are scalable, maintainable, and aligned with enterprise AI governance and emerging AI CoE practices.
- Collaborate closely with IT Automation & AI teams and platform owners to ensure technology readiness, security, and compliance.
- Assess and drive adoption of AI capabilities integrated with SAP EAM, Industry 4.0, Digital Twin, and other OT and manufacturing technologies.
- Design and deploy comprehensive training programs to accelerate AI literacy and adoption across manufacturing operations.
- Develop enablement assets including playbooks, FAQs, demos, usage guidelines, and citizen‑developer guardrails.
- Establish feedback loops to continuously improve training, tooling, and solution usability across functions.
- Upskill manufacturing teams to effectively leverage AI in their day to day work.
- Drive change‑management strategies that support new AI solutions, ensuring strong stakeholder engagement, communication, and user readiness.
- Track adoption and performance metrics, measure business impact, and report value realization to senior leadership.
- Support cultural transformation toward data‑driven, AI‑enabled manufacturing operations.
- Contribute to Global Operations’ AI roadmap, aligning AI capabilities with long‑term operational excellence and innovation goals.
- Stay current on AI, LLM, and automation trends and apply insights to guide technology evolution and solution design.
- Serve as a visible champion for responsible, secure, and value‑driven AI adoption across the enterprise.
Benefits
- access to genomics sequencing
- family planning
- health/dental/vision
- retirement benefits
- paid time off
- variable cash programs (bonus or commission)
- equity as part of the compensation package
- inclusive environment where employees feel valued and empowered to contribute to our mission
- zero-net gap in pay, regardless of gender, ethnicity, or race
- Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
1,001-5,000 employees
