Digital Operations Lead - Senior Manager

• 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.

Highest-signal resume keywords

• Agentic AI Product Development
• Manufacturing Digital Systems
• People Leadership
• Project Management
• AI Solution Delivery

ATS Optimization Keywords Hard Skills

• AI-Enabled Product Delivery
• Manufacturing Execution Systems (MES)
• Computer System Validation (CSV)
• Data Governance
• Change Management
• Journey Mapping
• Backlog Management
• Performance Monitoring
• Risk Management
• Value Realization

Soft Skills

• Excellent Communication
• Influencing Skills
• Entrepreneurial Approach
• Coaching
• Team Development

Certifications & Qualifications

• PMP
• PRINCE2
• ITIL
• Lean Six Sigma

Industry Keywords

• Pharma
• Biotech
• Medical Devices
• Regulated Operations
• Digital Manufacturing

Tools & Technologies

• LIMS
• SCADA
• Cloud Data Platforms
• Advanced Analytics
• AI Orchestration Tools