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Digital Operations Lead - Senior Manager

Posted 11 hours 9 minutes ago by Jobtailor

Permanent

Full Time

I.T. & Communications Jobs

Dublin, Ireland

Job Description

Design, deliver, and scale production-grade agentic AI systems across Pfizer's manufacturing network
Lead definition and delivery of agentic AI experiences, including use cases, behaviours, user experiences, and success criteria
Partner with engineers, data scientists, architects, manufacturing sites, Digital Manufacturing, Data & Analytics, Engineering, Quality, and business stakeholders
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 and the Digital Operations Centre
Apply customer discovery, product visioning, journey mapping, experimentation, backlog management, and value realization
Act as the voice of the customer and ensure products address meaningful manufacturing challenges
Lead co-creation workshops, discovery activities, pilot programmes, demonstrations, and feedback cycles
Develop and execute adoption strategies to maximise utilisation, engagement, and business impact
Own manufacturing agent lifecycles 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 Pfizer requirements for Responsible AI, cybersecurity, data governance, quality, validation, and compliance
Define processes for evaluation, performance monitoring, change management, human oversight, and risk management
Define product success metrics and value-realisation frameworks
Measure impact on 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

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 roadmaps, priorities, budgets, stakeholders, and end-to-end outcomes across business and IT/OT
Experience defining and delivering AI-enabled products, such as copilots, decision support, or agents
Experience translating user needs into requirements and measurable outcomes
Experience operating within formal quality systems and change control
Strong documentation discipline
Excellent communication skills and ability to influence site leadership and global partners
Entrepreneurial approach, bias for action, comfort with ambiguity, and track record of taking ideas from concept through pilot to adoption
Preferred: Hons Degree or equivalent advanced qualification
Preferred: Hands-on use of AI and agentic tools to mock designs, prototype agent experiences, and co-create solutions
Preferred: Deep OT/automation expertise, including SCADA, historians, serialization, and plant connectivity
Preferred: Validated system delivery, computer system validation (CSV), and assurance practices
Preferred: Cloud data platforms and advanced analytics/AI in manufacturing
Preferred: PMP/PRINCE2, ITIL, or Lean Six Sigma certification, or equivalent practice
Preferred: Global, multi-site program leadership and standardization/common-platform experience
Preferred: Financial management, vendor governance, forecasting, and chargeback/showback models
Preferred: AI solution delivery and operations, including MLOps/LLMOps and/or agentic AI orchestration
Preferred: Responsible AI practices, including risk assessments, bias/robustness testing, human oversight, and documentation
For Ireland applications, must be legally eligible to work in Ireland

Core Competencies

Demonstrates expertise in designing and delivering agentic AI systems within manufacturing environments, with a strong focus on product management, stakeholder engagement, and compliance with quality and regulatory standards. Proven ability to translate user needs into actionable product strategies and measurable outcomes.

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