Open role
Agentic Product Specialist – Manager
- Aggregated by CV-Library
- Dublin
- Permanent
- Full Time
Job Description
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.
Additional Information
In order to be considered for this position in Ireland you need to be legally eligible to work in Ireland.
Please note there is no relocation support available for this position
How to apply
Make a difference today, all suitable candidates should apply with CV below. We are looking forward to hearing from you!
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Pfizer endeavors to make (url removed)/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email (email address removed). This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on .
Information & Business Tech
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.
Additional Information
In order to be considered for this position in Ireland you need to be legally eligible to work in Ireland.
Please note there is no relocation support available for this position
How to apply
Make a difference today, all suitable candidates should apply with CV below. We are looking forward to hearing from you!
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Pfizer endeavors to make (url removed)/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email (email address removed). This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on .
Information & Business Tech