# Digital Operations Agentic Lead – Senior Manager at Pfizer

AI Level 3, AI centrality 65 out of 100. Ireland - Dublin - Grange Castle.

## Details

- Company: [Pfizer](https://jobsbylevel.com/companies/pfizer)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Ireland - Dublin - Grange Castle
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/7af4fa5e-db6a-4499-a86b-7bb9bd8da034

## Description

ROLE SUMMARY Digital Operations Agentic Lead – Senior Manager within the Digital Manufacturing Agents team is responsible for designing, delivering, and scaling agentic AI systems across Pfizer’s manufacturing network in support of the Integrated Manufacturing Excellence (IMEx) operating system. The role leads the delivery of production-grade AI 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. Applying modern product management practices, the role owns the strategy, roadmap, adoption, and value realization of these agentic capabilities. Partnering closely with manufacturing sites, Digital Manufacturing, Data & Analytics, Engineering, Quality, and business stakeholders, the role translates operational challenges into scalable digital products and intelligent agent experiences that augment human expertise, break down knowledge silos, and accelerate business outcomes 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 Delivery Lead the definition and delivery of agentic AI experiences for manufacturing: define agent use cases, behaviours, user experiences, and success criteria, partnering with the engineers, data scientists, and architects who own the technical build. Rapidly prototype and mock agent experiences with customers and manufacturing SMEs to test ideas, validate value, and shape solutions before build. Co-own agent evaluation frameworks, guardrails, and human-in-the-loop oversight models as the product quality bar for every release. Transform manufacturing knowledge and SME expertise into reusable, scalable intelligence assets that power agent capabilities, including the evolution of DOC from a content-centric platform to an agent-enabled experience. Product Strategy, Roadmap & Adoption Define and execute the product vision, strategy, and multi-year roadmap for agentic capabilities, including the evolution of DOC into an AI-powered manufacturing intelligence platform aligned to the IMEx operating system. Apply modern product management practices – customer discovery, product visioning, journey mapping, experimentation, backlog management, and value realization – prioritising investment based on user needs, business value, technical feasibility, and organisational readiness. Act as the voice of the customer, ensuring products and agents address meaningful manufacturing challenges and create measurable value. Lead co-creation workshops, product discovery activities, pilot programmes, demonstrations, and feedback cycles with manufacturing stakeholders. Develop and execute adoption strategies that maximise utilisation, engagement, and business impact, championing product-led thinking across Digital Manufacturing and manufacturing stakeholders. Agent Lifecycle & Operations Own the lifecycle of manufacturing agents from concept through deployment, monitoring, evaluation, and continuous improvement in production. Define agent value propositions, success metrics, and adoption strategies for each capability release. Drive continuous enhancement of deployed agents using evaluation results, user feedback, operational insights, and product performance data. Governance & Responsible AI Establish 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. Define processes for

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