Agentic Product Specialist – Manager

ROLE SUMMARY

Agentic Product Specialist – Manager within the Digital Manufacturing Agents team is responsible for building and delivering agentic AI capabilities across Pfizer’s manufacturing network in support of the Integrated Manufacturing Excellence (IMEx) operating system. Working hands-on with frontier AI tools, the role designs, prototypes, evaluates, and ships production-grade agents that access knowledge, synthesize information, support decision-making, and execute work alongside manufacturing colleagues – including the evolution of the Digital Operations Centre (DOC) into an intelligent, agent-enabled manufacturing experience.

Operating as a product owner, the role translates user needs into agent behaviours, backlogs, and measurable outcomes, partnering closely with engineers, data scientists, manufacturing SMEs, and business stakeholders to iterate rapidly from idea to prototype to adopted product across the manufacturing network.

This is a rare opportunity to join a high-performing, competitive team at the forefront of agentic AI – building with the latest frontier technologies and shaping how one of the world’s leading manufacturing networks adopts them. If you want to work on the hardest, most exciting problems in applied AI for manufacturing, this is the team.
 

Agentic Product Build & Delivery

• Build and deliver agentic AI capabilities hands-on: define agent use cases, behaviours, prompts, workflows, and tool integrations with manufacturing systems and knowledge sources, working day-to-day 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 that power agent capabilities, contributing to the evolution of DOC from a content-centric platform to an agent-enabled experience.

 

Product Ownership & Backlog

• Own the product backlog for assigned agentic capabilities: translate user needs into user stories, acceptance criteria, and measurable outcomes, prioritised by business value and technical feasibility.
• Apply modern product management practices – customer discovery, journey mapping, experimentation, and value realization – 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 Digital Manufacturing Agents 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 manufacturing 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 from information repositories into intelligent digital teammates that empower manufacturing colleagues and 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 (pharma/biotech, medical devices, or similar).
• Experience leading delivery teams or workstreams, including coordinating engineers, partners, and SMEs, with the ability to coach and develop others.
• Solid product and project management skills – managing backlogs, priorities, stakeholders, and delivery outcomes end-to-end.
• Hands-on experience building with AI/LLM technologies (e.g., 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 ability to influence at multiple levels, including site leadership and global partners.
• Entrepreneurial, hands-on approach: bias for action, comfort with ambiguity, and a track record of taking ideas from concept through prototype to adoption.

PREFERRED QUALIFICATIONS

• Hons 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 manufacturing SMEs.
• Working knowledge of OT/automation and manufacturing digital systems (e.g., MES, SCADA, historians, LIMS) and integration patterns.
• Experience with validated system delivery approaches and regulated computer system validation (CSV) / assurance practices.
• Experience with cloud data platforms and advanced analytics/AI in manufacturing contexts.
• Formal certification (Agile/Scrum Product Owner, PMP/PRINCE2, ITIL, Lean Six Sigma) or demonstrated equivalent practice.
• Experience leading global, multi-site programs and driving standardization/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 (deployment, monitoring, evaluation) and/or agentic AI orchestration (tools, workflows, guardrails) in an enterprise environment.
• Experience with responsible AI practices (risk assessments, bias/robustness testing, human oversight, documentation) and applying them within regulated or validated contexts.

 
Work Location Assignment: Hybrid


This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.




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