Senior Principal, AI Product Owner - LLMs
About The Position
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.
Requirements
- Strong command of LLM solution patterns — RAG, prompt engineering, embeddings, evaluation, and grounding/guardrails.
- 15+ years in enterprise data, software development practices and/or product management/ownership, including 4+ years delivering AI/ML or data products, with a track record of taking solutions to scaled production.
- Demonstrated experience assessing and improving data readiness for AI — quality, lineage, metadata, and accessibility.
- Proven success building a new capability or practice and scaling it across an organization.
- Experience establishing AI governance, risk, and Responsible AI controls.
- Track record of value creation — connecting AI products to quantified business outcomes.
- Excellent stakeholder leadership and executive communication; able to influence senior business and technical leaders.
- Bachelor’s degree in a relevant field; advanced degree a plus.
Nice To Haves
- Experience with generative AI platforms and Google Cloud Platform (GCP), including Vertex AI and Gemini models, is a plus.
- Experience in semiconductor, advanced materials, manufacturing, or global supply chain environments.
- Familiarity with enterprise platforms such as Microsoft Azure AI / Copilot, Databricks, SAP, and ServiceNow.
- Relevant certifications in product management, AI/ML, or cloud, and experience with Agile and modern product operating models.
Responsibilities
- Own the 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.
- Partner with engineering on RAG architectures, prompt design, embeddings/vector retrieval, fine-tuning/grounding, and orchestration.
- Define evaluation suites for accuracy, relevance, hallucination, and safety, and curate golden datasets and source-of-truth knowledge.
- Manage cost and token economics against value, and drive adoption and user trust.
- 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.
- Champion the data-quality standards, metadata, and master data your products depend on, and drive readiness assessments before solutions move to production.
- Stand up and scale the capability within Entegris’ AI, Data & Digital Enablement function — reusable patterns, playbooks, reference architectures, and evaluation frameworks.
- Mentor product owners and analysts, grow AI literacy, and cultivate a community of practice that lets delivery scale across the organization.
- 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.
- Set the guardrails and approval gates appropriate to a mission-critical operations environment.
- Build business cases, prioritize by ROI, and instrument value tracking against clear baselines (cost-to-serve, working capital, cycle time, quality, and service).
- Report realized impact to supply chain and enterprise leadership, and continuously reprioritize the portfolio toward measurable outcomes.
- Run discovery with business owners, lead change management and adoption, and communicate progress, value, and risk to senior leadership.
- Influence and align business, IT, data engineering, and data science partners around a shared roadmap.
Benefits
- Generous 401(K) plan with an impressive employer match
- Excellent health, dental and vision insurance packages to fit your needs
- Flexible work schedule
- 11 paid holidays a year
- Paid time off (PTO) policy that empowers you to take the time you need to recharge
- Education assistance to support your learning journey
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
