FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesCloudCyber SecurityPMP
About the role
Key responsibilities & impact- Design, deliver, and scale agentic AI systems across Pfizer’s manufacturing network
- Lead production-grade AI agents that access knowledge, synthesize information, support decision-making, and execute work alongside manufacturing colleagues
- Evolve the Digital Operations Centre into an intelligent, agent-enabled manufacturing experience
- Define agent use cases, behaviours, user experiences, and success criteria with engineers, data scientists, and architects
- Rapidly prototype and mock agent experiences with customers and manufacturing SMEs
- Co-own agent evaluation frameworks, guardrails, and human-in-the-loop oversight models
- Transform manufacturing knowledge and SME expertise into reusable, scalable intelligence assets
- Define and execute product vision, strategy, and multi-year roadmap for agentic capabilities
- Apply customer discovery, product visioning, journey mapping, experimentation, backlog management, and value realization
- Act as the voice of the customer and lead co-creation workshops, product discovery, pilots, demonstrations, and feedback cycles
- Develop adoption strategies to maximise utilisation, engagement, and business impact
- Own the manufacturing-agent lifecycle from concept through deployment, monitoring, evaluation, and continuous improvement
- Define value propositions, success metrics, and adoption strategies for capability releases
- Establish governance frameworks for AI and agentic product development, deployment, monitoring, and lifecycle management
- Ensure alignment with Responsible AI, cybersecurity, data governance, quality, validation, and compliance requirements
- Define processes for evaluation, performance monitoring, change management, human oversight, and risk management
- Partner with Quality, Cybersecurity, Data & Analytics, and Engineering teams
- Measure impact through knowledge accessibility, colleague productivity, decision quality, operational performance, and IMEx maturity
- Identify opportunities to scale successful capabilities across manufacturing sites and business units
- Champion transformation of manufacturing digital products into intelligent digital teammates
Requirements
What you’ll need- Bachelor’s degree in Engineering, Computer Science, Information Systems, Business, or equivalent experience
- Significant experience in manufacturing or regulated operations environments, such as pharma/biotech or medical devices
- Working knowledge of manufacturing digital systems, including MES, historians, and LIMS, and integration patterns
- Demonstrated people leadership experience, including coaching, performance management, and team development
- Strong product and project management skills, including ownership of roadmaps, priorities, budgets, stakeholders, and outcomes end-to-end across business and IT/OT
- Experience defining and delivering AI-enabled products, such as copilots, decision support, or agents
- 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 track record of taking ideas from concept through pilot to adoption
- Hons Degree or equivalent advanced qualification preferred
- Hands-on ability to use AI and agentic tools to rapidly mock designs, prototype agent experiences, and co-create solutions
- Deep OT/automation expertise, including SCADA, historians, serialization, and plant connectivity
- 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 such as PMP/PRINCE2, ITIL, or 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 and/or agentic AI orchestration
- Experience with responsible AI practices, including risk assessments, bias/robustness testing, human oversight, and documentation
- For the Ireland posting, must be legally eligible to work in Ireland
Benefits
Comp & perks- Hybrid work location assignment
- No relocation support available
- Equal employment opportunity and disability inclusion support
- Reasonable adjustments available during application and interviewing