Digital Operations Agentic Lead – Senior Manager

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 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

• Define product success metrics and value-realisation frameworks for AI and 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, Business, or equivalent experience.
• Significant experience in manufacturing or regulated operations environments (pharma/biotech, medical devices, or similar), with working knowledge of manufacturing digital systems (e.g., MES, historians, LIMS) and integration patterns.
• Demonstrated people leadership experience, including coaching, performance management, and team development.
• Strong product and project management skills with demonstrated delivery experience – owning roadmaps, priorities, budgets, stakeholders, and outcomes end-to-end across business and IT/OT.
• Experience defining and delivering AI-enabled products (e.g., copilots, decision support, agents), translating user needs into requirements and measurable outcomes.
• 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 approach to product delivery: bias for action, comfort with ambiguity, and a track record of taking ideas from concept through pilot 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.
• Deep OT/automation expertise (e.g., SCADA, historians, serialization, plant connectivity) and experience with validated system delivery / computer system validation (CSV) and assurance practices.
• Experience with cloud data platforms and advanced analytics/AI in manufacturing contexts.
• Formal certification (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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