Director, AI Scaling Lead

Pfizer•New York City, NY
•$162,900 - $271,500•Onsite

About The Position

The AI Scaling Lead accelerates AI adoption and value realization across GH&B’s global manufacturing network. The role connects site innovation, network priorities, and enterprise transformation by leading the identification, development, scaling, and sustainment of AI-enabled solutions that improve operational performance, productivity, quality, and colleague experience. It connects Sites, AI Squads, Site AI Champions, and network resources through disciplined, sprint-based execution so successful solutions can be replicated, standardized, and embedded across the network. The position combines manufacturing expertise, strategic thinking, change leadership, and AI and digital acumen to support GH&B’s goal of becoming an AI-native manufacturing organization. It translates successful global and local innovations into scalable enterprise capabilities and measurable value, while working with the AI Transformation Office and site and business leaders to support adoption, governance, and standards. The role is based on premise, requires travel across manufacturing sites of up to 25%, and may require occasional non-standard hours to support the global network. The position is eligible for a Global Performance Plan bonus target of 20% of base salary and participation in a share-based long-term incentive program. Relocation assistance may be available based on business needs and eligibility. Candidates must have permanent U.S. work authorization; visa sponsorship is not available.

Requirements

  • Bachelor's degree and at least 8 years of experience, or a master's degree and at least 7 years of experience, or a PhD and at least 5 years of experience.
  • Proven track record leading site-based manufacturing, automation, or supply chain operations.
  • Ability to influence and align stakeholders across global, cross-functional, and matrixed organizations, including senior leaders.
  • Experience in pharmaceutical or life sciences manufacturing within a regulated environment.
  • Experience bridging operations with digital and AI-enabled capabilities.
  • Experience leading cross-functional teams through sprint-based or agile delivery.
  • Strong program management skills, including prioritizing and delivering multiple initiatives at once.
  • Adaptable and resourceful in a fast-changing, ambiguous environment.
  • Permanent work authorization in the United States.

Nice To Haves

  • Experience working across matrixed regional structures.
  • Experience applying AI, advanced analytics, or automation to manufacturing operations.
  • Lean, Six Sigma, IMEx, or Innovation Coach leadership experience.
  • Experience building playbooks or standards to scale solutions across multiple sites.
  • Experience as a Site AI Champion or in a similar grassroots capability-building role.
  • Breadth of diverse leadership experiences and capabilities, including influencing and collaborating with peers, developing and coaching others, and guiding colleagues’ work to achieve meaningful outcomes and business impact.

Responsibilities

  • Lead and prioritize AI Squad initiatives across GH&B, ensuring delivery against business priorities and measurable outcomes.
  • Identify, evaluate, and champion high-value AI opportunities with global and site teams.
  • Lead cross-functional AI Squads through sprint-based delivery and hold teams accountable for outcomes and timelines.
  • Surface and shape AI opportunities with Squads and Site Teams, assessing strategic alignment, business value, scalability, and implementation readiness.
  • Prioritize and sequence squad capacity across sites based on impact and readiness.
  • Facilitate decision-making, stakeholder alignment, and issue resolution across sites and functions.
  • Ensure solutions consider sustainability, scalability, compliance, and user adoption.
  • Identify site-grown solutions ready for replication and lead their rollout across the network.
  • Codify proven solutions into playbooks, standards, and best practices for rapid, consistent reuse.
  • Align replicated solutions with network standards and governance in partnership with the AI Transformation Office.
  • Partner with Site AI Champions to tailor rollouts to local contexts while preserving standards.
  • Gather site feedback, identify adoption barriers, and translate recurring barriers into improvements to governance, training, or documentation.
  • Standardize and harmonize approaches to maximize impact across sites.
  • Partner with Site AI Champions and business leaders to drive engagement, adoption, and capability building.
  • Advance AI fluency and change adoption across the network so colleagues can confidently use AI tools and ways of working.
  • Monitor value realization, adoption metrics, and implementation effectiveness, and proactively remove barriers to success.
  • Foster experimentation, learning, and continuous improvement through agile, sprint-based delivery.
  • Act as a trusted connector between local innovation and enterprise AI governance, strategy, and standards.
  • Contribute to building an AI-native manufacturing organization through scalable digital solutions.

Benefits

  • 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution.
  • Paid vacation, holiday, and personal days.
  • Paid caregiver, parental, and medical leave.
  • Medical, prescription drug, dental, and vision coverage.
  • Global Performance Plan with a bonus target of 20% of base salary.
  • Eligibility to participate in a share-based long-term incentive program.
  • Relocation assistance may be available based on business needs and eligibility.
  • Comprehensive benefits and programs to support colleagues’ health and life needs.
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