Senior Principal, AI Product Owner - LLMs
Job Title:
Senior Principal, AI Product Owner - LLMs Job Description:
Senior AI Product Owner — Large Language Models (LLMs)
AI, Data & Digital Enablement — Global Supply Chain
Here at Entegris , we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission.
The Role:
Entegris is seeking a Senior AI Product Owner — Large Language Models (LLMs) to join our Global Supply Chain organization in a remote, U.S.-based role. Within Global Supply Chain, the AI, Data & Digital Enablement team is building the data foundation, AI capabilities, and digital products that make our supply chain more predictive, resilient, and efficient.
Reporting to the VP, AI and Data, you will own the strategy, roadmap, and delivery of generative AI products built on large language models — copilots, knowledge assistants, and document intelligence — for the supply chain. This is a senior, builder-level role: you’ll shape the product portfolio, stand up the practice, establish governance and guardrails, and ensure the underlying data is AI-ready — partnering with business leaders, IT, data engineering, and data science to take solutions from concept to scaled production.
What You’ll Do:
Large Language Model (LLM) Product Leadership
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Be the domain expertand provideseniorprincipal,consultant level approach fordevelopingand maturing best practices. Ownthe roadmap for generative AI products built on LLMs — enterprise copilots, retrieval-grounded knowledge assistants, document and contract intelligence, summarization, and search across supply chain content.
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Partner with engineering on RAG architectures, prompt design, embeddings/vector retrieval, fine-tuning/grounding, and orchestration.
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Define evaluation suites for accuracy, relevance, hallucination, and safety, and curate golden datasets and source-of-truth knowledge.
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Manage cost and token economics againstvalue, anddrive adoption and user trust.
Data Readiness for AI
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Partner with data engineering and governance teams to assess and elevate the readiness of supply chain, manufacturing, quality, and operational data for AI — accuracy, completeness, lineage, timeliness, and accessibility.
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Champion the data-quality standards, metadata, and master data your products depend on, and drive readiness assessments before solutions move to production.
Building the Practice
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Stand up and scale the capability within Entegris ’ AI, Data & Digital Enablement function — reusable patterns, playbooks, reference architectures, and evaluation frameworks.
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Mentor product owners and analysts, grow AI literacy, and cultivate a community of practice that lets delivery scale across the organization.
Establishing Governance
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Define and operationalize Responsible AI governance — risk, security, data and IP protection, model/solution oversight, audit trails, and compliance — aligned to Entegris policy and emerging AI regulation.
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Set the guardrails and approval gates appropriate to a mission-critical operations environment.
Value Creation
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Build business cases, prioritize by ROI, and instrument value tracking against clear baselines (cost-to-serve, working capital, cycle time, quality, and service).
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Report realized impact to supply chain and enterpriseleadership, andcontinuously reprioritize the portfolio toward measurable outcomes.
Stakeholder & Cross-Functional Leadership
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Run discovery with business owners, lead change management and adoption, and communicate progress, value, and risk to senior leadership.
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Influence and align business, IT, data engineering, and data science partners around a shared roadmap.
What We Seek:
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Strong command of LLM solution patterns — RAG, prompt engineering, embeddings, evaluation, and grounding/guardrails.
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15+ years inenterprise data,software development practices and/orproduct management/ownership, including 4+ years deliv