Senior Principal, AI Product Owner - Agentic AI

Senior AI Product Owner — Agentic AI 

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 — Agentic AI 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 agentic AI products — autonomous and semi-autonomous agents that plan, reason, use tools, and act across supply chain and operational workflows. 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: 

Agentic AI Product Leadership 

• Be the domain expert and provide senior principal, consultant level approach for developing and maturing best practices. Own the vision and roadmap for agentic AI products that execute multi-step work across supply chain and operations (e.g., exception handling, planning, procurement, supplier and logistics operations). 

• Partner with engineering to design multi-agent systems — orchestration, tool/function calling, memory, retrieval, and human-in-the-loop checkpoints — using frameworks such as LangGraph, AutoGen, or CrewAI. 

• Define autonomy levels, agent evaluation, and reliability standards, and instrument observability for agent actions and outcomes. 

• Balance automation with control — designing escalation, approval gates, and fail-safes appropriate to mission-critical operations. 

Data Readiness for AI 

• 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. 

Building the Practice 

• 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. 

Establishing Governance 

• 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. 

Value Creation 

• Build business cases, prioritize by ROI, and instrument value tracking against clear baselines (cost-to-serve, working capital, cycle time, quality, and service