Agentic Product Owner

Digital Manufacturing Agents

About the Role

We're looking for an Agentic Product Owner to build and deliver agentic AI capabilities across Pfizer Global Supply.

This is a hands-on, hybrid role at the intersection of technology, business, and customer engagement. You'll work day-to-day with engineers and data scientists to define and ship agent experiences, own the product backlog, act as the voice of the manufacturing customer, and ensure everything we deliver meets Pfizer's standards for Responsible AI, quality, and compliance.

You'll help drive the transformation of manufacturing digital products from information repositories into intelligent digital teammates.

Key Responsibilities

Agentic Product Build & Delivery

• Define agent use cases, behaviours, prompts, workflows, and tool integrations with manufacturing systems and knowledge sources, working hands-on with engineers and data scientists.
• Rapidly prototype and mock agent experiences using AI and agentic tools, co-creating directly with customers and manufacturing SMEs to test ideas and validate value before build.
• Implement and run agent evaluation frameworks, guardrails, and human-in-the-loop oversight models, using results to drive quality, trust, and adoption.
• Transform manufacturing knowledge and SME expertise into reusable, scalable intelligence assets and agent-enabled experiences.

Product Ownership & Backlog

• Own the product backlog for Smart Factory Agents, translating user needs into user stories, acceptance criteria, and measurable outcomes, prioritised by business value and technical feasibility.
• Apply modern product management practices, including customer discovery, journey mapping, experimentation, and value realisation, within the roadmap set by Digital Manufacturing Agents leadership.
• Lead co-creation workshops, discovery activities, pilots, demonstrations, and feedback cycles with manufacturing stakeholders, acting as the voice of the customer.
• Develop and execute adoption activities that maximise utilisation, engagement, and business impact.

Agent Lifecycle & Operations

• Deploy, monitor, evaluate, and continuously improve production agents using evaluation results, user feedback, operational insights, and performance data.
• Define agent value propositions, success metrics, and adoption strategies for each capability release.
• Support incident triage, root-cause analysis, and continuous improvement for deployed agentic products in regulated manufacturing environments.

Governance & Responsible AI

• Apply governance frameworks supporting AI and agentic product development, deployment, monitoring, and lifecycle management.
• Ensure products align with Pfizer requirements for Responsible AI, cybersecurity, data governance, quality, validation, and compliance.
• Execute processes for agent evaluation, performance monitoring, change management, human oversight, and risk management within regulated environments.
• Partner with Quality, Cybersecurity, Data & Analytics, and Engineering teams to ensure compliant and scalable delivery.

Value Realisation & Scale

• Track product success metrics and value realisation for delivered agentic solutions.
• Measure impact through improvements in knowledge accessibility, colleague productivity, decision quality, operational performance, and IMEx maturity.
• Identify opportunities to scale successful capabilities across manufacturing sites and business units.
• Champion the transformation of manufacturing digital products into intelligent digital teammates that accelerate operational excellence.

Basic Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Systems, or equivalent experience.
• Experience delivering digital or AI solutions in a manufacturing or regulated environment, such as pharma, biotech, medical devices, or similar.
• Experience leading delivery teams or workstreams, coordinating engineers, partners, and SMEs, with the ability to coach and develop others.
• Solid product and project management skills, including managing backlogs, priorities, stakeholders, and delivery outcomes end-to-end.
• Hands-on experience building with AI/LLM technologies, including prompt engineering, retrieval/RAG, agent frameworks, evaluation, and guardrails, and translating user needs into working solutions.
• Experience operating within formal quality systems and change control, with strong documentation discipline.
• Excellent communication skills and the ability to influence at multiple levels, including site leadership and global partners.
• Entrepreneurial, hands-on approach, with a bias for action, comfort with ambiguity, and a track record of taking ideas from concept through prototype to adoption.

Preferred Qualifications

• Honours degree or equivalent advanced qualification.
• Hands-on ability to use AI and agentic tools to rapidly mock designs, prototype agent experiences, and co-create solutions directly with customers and SMEs.
• Working knowledge of OT/automation and manufacturing digital systems, including MES, SCADA, historians, LIMS, SAP, and Veeva, as well as integration patterns.
• Experience with validated system delivery and regulated Computer System Validation (CSV) / assurance practices.
• Experience with cloud data platforms and advanced analytics/AI in manufacturing contexts.
• Formal certification such as Agile/Scrum Product Owner, PMP/PRINCE2, ITIL, Lean Six Sigma, or demonstrated equivalent practice.
• Experience leading global, multi-site programmes and driving standardisation/common platforms.
• Financial management experience, including vendor governance, forecasting, and chargeback/showback models.
• Hands-on experience delivering and operating AI solutions, including MLOps/LLMOps patterns and/or agentic AI orchestration involving tools, workflows, and guardrails in an enterprise environment.
• Experience with Responsible AI practices, including risk assessments, bias/robustness testing, human oversight, and documentation, applied within regulated or validated contexts.