Director, AI Scaling Lead

ROLE SUMMARY

As the AI Scaling Lead, you will play a critical role in accelerating AI adoption and value realization across GH&B global manufacturing network. Acting as the bridge between site innovation, network priorities, and enterprise transformation, you will lead the identification, development, scaling, and sustainment of AI-enabled solutions that improve operational performance, productivity, quality, and colleague experience.

The Lead will connect Sites, AI Squads, Site AI Champions, and Network resources through disciplined, sprint-based execution, ensuring successful solutions are rapidly replicated, standardized, and embedded across the network. The role requires a unique blend of manufacturing expertise, strategic thinking, change leadership, and AI/digital acumen to help build an AI-native organization.

This role will be instrumental in helping GH&B realize its vision of becoming an AI-native manufacturing organization by transforming successful global and local innovations into scalable enterprise capabilities that deliver measurable value.

 What You Will Achieve
 

• 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 in partnership with global and site  teams.
• Accelerate the replication of proven AI solutions across sites, reducing duplication and maximizing enterprise impact.
• Establish scalable playbooks, standards, and best practices that enable rapid adoption and sustainable value creation.
• Partner closely with Site AI Champions and business leaders to drive engagement, adoption, and capability building.
• Advance AI fluency and change adoption across the network, helping colleagues confidently leverage AI tools and ways of working.
• Monitor value realization, adoption metrics, and implementation effectiveness while proactively removing barriers to success.
• Foster a culture of experimentation, learning, and continuous improvement through agile, sprint-based delivery.
• Serve as a trusted advisor and connector between local innovation efforts and enterprise AI governance, strategy, and standards.
• Contribute to building an AI-native manufacturing organization that delivers competitive advantage through scalable digital solutions.

ROLE RESPONSIBILITIES

Focus Areas

• Squad Leadership & Opportunity Development:
  • Lead cross-functional AI Squads through sprint-based delivery, holding teams accountable for outcomes and timelines.
  • Work with Squads and Site Teams to surface and shape new AI opportunities with clear business impact.
  • Assess opportunities based on 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 multiple sites and functions.
  • Ensure solutions are developed with sustainability, scalability, compliance, and user adoption in mind.
• Site-to-network Replication & Local Adoption
  • Identify site-grown solutions ready for replication and own their rollout across the network.
  • Codify proven solutions into playbooks and standards for fast, consistent reuse.
  • Align replicated solutions with network standards and governance, in partnership with the AI Transformation Office.
  • Partner with Site AI Champions to tailor rollout to local context without diluting the standard.
  • Gather site feedback to spot adoption barriers early.
  • Turn recurring barriers into improvements to governance, training, or documentation.
  • Standardize and harmonize approaches to maximize impact across sites.
• Implement Enterprise and PGS Solution Adoption
  • Lead AI Squads through sprint-based delivery of new AI solutions, holding teams accountable for outcomes and timelines.

BASIC QUALIFICATIONS

• Bachelor’s degree with at least 8 years of experience; OR a master’s degree with at least 7 years of experience; OR a PhD with 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 aregulated environment.
• Experience bridging operations with digit…