Product Specialist – Manager

Pfizer

Pfizer manager building and scaling agentic AI products across pharmaceutical manufacturing sites. Owning backlogs, prototypes, governance, and adoption from concept through production.

Posted 8/21/2026full-timeDublin • 🇮🇪 IrelandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in delivering AI solutions within manufacturing environments, focusing on product management, user story development, and stakeholder engagement. Proficient in applying governance frameworks and responsible AI practices to ensure compliance and quality in digital product development.

Highest-signal resume keywords

AI/LLM TechnologiesProduct ManagementManufacturing Digital SystemsAgile/Scrum Product Owner CertificationMLOps/LLMOps Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringAgent FrameworksChange ControlValidated System DeliveryCloud Data PlatformsAdvanced AnalyticsRisk AssessmentsBias TestingHuman OversightDocumentation Discipline

Soft Skills

Excellent CommunicationInfluencing LeadershipEntrepreneurial ApproachBias For ActionComfort With Ambiguity

Tools & Technologies

MESSCADAHistoriansLIMSAI ToolsAgentic ToolsDigital TeammatesData GovernanceCybersecurityQuality Systems

Certifications & Qualifications

Agile/Scrum Product OwnerPMPPRINCE2ITILLean Six Sigma

Industry Keywords

ManufacturingDigital ProductsRegulated EnvironmentContinuous ImprovementOperational Performance

Tech Stack

Tools & technologies

CloudCyber SecurityPMP

About the role

Key responsibilities & impact

Build and deliver agentic AI capabilities across Pfizer’s manufacturing network
Define agent use cases, behaviours, prompts, workflows, and integrations with manufacturing systems and knowledge sources
Rapidly prototype agent experiences and co-create solutions with customers and manufacturing SMEs
Implement agent evaluation frameworks, guardrails, and human-in-the-loop oversight models
Transform manufacturing knowledge and SME expertise into reusable intelligence assets
Own product backlogs and translate user needs into user stories, acceptance criteria, and measurable outcomes
Apply customer discovery, journey mapping, experimentation, and value realization practices
Lead co-creation workshops, discovery activities, pilots, demonstrations, and feedback cycles
Develop adoption activities to maximise utilisation, engagement, and business impact
Deploy, monitor, evaluate, and continuously improve production agents
Define value propositions, success metrics, and adoption strategies
Support incident triage, root-cause analysis, and continuous improvement
Apply governance frameworks for AI and agentic product development and lifecycle management
Ensure alignment with Responsible AI, cybersecurity, data governance, quality, validation, and compliance requirements
Execute evaluation, monitoring, change management, human oversight, and risk management processes
Partner with Quality, Cybersecurity, Data & Analytics, and Engineering teams
Track product success metrics and value realization
Measure improvements in knowledge accessibility, productivity, decision quality, operational performance, and IMEx maturity
Identify opportunities to scale capabilities across manufacturing sites and business units
Champion the transformation of manufacturing digital products into intelligent digital teammates

Requirements

What you’ll need

Bachelor’s degree in Engineering, Computer Science, Information Systems, or equivalent experience
Experience delivering digital or AI solutions in a manufacturing or regulated environment
Experience leading delivery teams or workstreams, coordinating engineers, partners, and SMEs
Solid product and project management skills, including managing backlogs, priorities, stakeholders, and delivery outcomes end-to-end
Hands-on experience with AI/LLM technologies, including prompt engineering, retrieval/RAG, agent frameworks, evaluation, and guardrails
Experience operating within formal quality systems and change control
Strong documentation discipline
Excellent communication and ability to influence site leadership and global partners
Entrepreneurial, hands-on approach with a bias for action and comfort with ambiguity
Track record of taking ideas from concept through prototype to adoption
Legally eligible to work in Ireland for the Ireland position
Hons Degree or equivalent advanced qualification
Hands-on ability to use AI and agentic tools for rapid mockups and prototypes
Working knowledge of OT/automation and manufacturing digital systems such as MES, SCADA, historians, and LIMS
Experience with validated system delivery and regulated computer system validation (CSV)/assurance practices
Experience with cloud data platforms and advanced analytics/AI in manufacturing
Formal certification such as Agile/Scrum Product Owner, PMP/PRINCE2, ITIL, or Lean Six Sigma, or equivalent practice
Experience leading global, multi-site programs and driving standardization/common platforms
Financial management experience, including vendor governance, forecasting, and chargeback/showback models
Experience delivering and operating AI solutions, including MLOps/LLMOps or agentic AI orchestration
Experience with responsible AI practices, including risk assessments, bias/robustness testing, human oversight, and documentation

Benefits

Comp & perks

Hybrid work arrangement
No relocation support available
Equal employment opportunity and disability inclusion support
Reasonable adjustments to support application and future career
Accessibility assistance for the application process and/or interviewing