The Associate Principal AI Adoption & Enablement Lead Operations & Supply Chain will drive the adoption scaling and impact of AI and intelligent automation across Supply Chain Manufacturing and Quality. This role ensures that Global Operations teams understand AI capabilities generate highquality demand execute prioritized initiatives and deliver the training and changemanagement needed for sustained value realization.
The leader will combine strong business influencing ability process expertise and AI fluency with a solid technical background to manage a team of AI and automation developers building solutions such as Generative AI apps intelligent workflows and automation services for Global Operations.
Position Responsibilities:
AI Demand Generation & Business Partnership
Partner with Supply Chain Manufacturing and Quality leaders to identify highvalue AI opportunities and shape an actionable demand pipeline.
Facilitate discovery sessions process reviews and value assessments to align opportunities with business priorities.
Translate operational challenges into clear AI/automation use cases solution concepts and ROI projections.
AI & Automation Delivery Leadership
Lead and mentor a cross-functional team of AI developers automation engineers and solution architects delivering Generative AI automation and decision-support capabilities.
Manage intake scoping sprint planning and delivery to ensure solutions are scalable maintainable and aligned with enterprise AI governance (aligned with emerging AI CoE practices referenced in GO & IT collaboration
Partner closely with IT Automation & AI teams and platform owners to ensure technology readiness compliance and security.
AI Enablement Adoption & Training Rollout
Design and deploy comprehensive training programs to accelerate AI literacy and adoption within operations
Build enablement assets including playbooks FAQs demos guidelines and citizendeveloper guardrails.
Establish feedback loops to refine training tooling and solution usability across functions.
Design and deploy training for GO Analytics to upskill the talent with AI
Change Management & Value Realization
Drive changemanagement plans supporting new AI solutions ensuring strong stakeholder engagement communication and user readiness.
Track adoption metrics measure business impact and report value delivered to leadership.
Support cultural transformation toward datadriven and AIenabled operations.
Strategic Contributions to Global Operations AI Vision
Contribute to GOs AI roadmap aligning AI capabilities with longterm operational excellence and innovation goals.
Stay current on AI/LLM trends automation platforms and operational use cases to guide technology evolution and solution design.
Serve as a visible champion for responsible secure valuedriven AI adoption across the enterprise.
The listed responsibilities are an essential but not exhaustive list of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.
Qualifications:
Required
8 years of experience in Global Operations Supply Chain Manufacturing Quality or similar environments.
Demonstrated ability to influence senior stakeholders and drive cross-functional transformation.
Strong understanding of operational processes and applied AI/Agentic AI/automation capabilities (LLMs workflow automation predictive models etc.).
Technical fluency and ability to lead teams across automation development AI engineering or low code/automation platforms.
Experience with RPA LLMs orchestration tools or process mining. (UiPath Azure Open AI Microsoft CoPilot Studio GitHub Copilot)
Understanding of industry trends of .ai products than can drive significant impact through augmentation of tools
Experience managing global project portfolios agile teams and solution delivery lifecycles.
Preferred
Hands-on experience deploying AI/automation solutions in complex operational environments.
Familiarity with enterprise AI governance and risk frameworks
Exposure to MES QMS ERP planning systems or other operations technologies.
Lean Six Sigma or operational excellence certification.
Leadership Competencies
Strong executive presence and ability to inspire trust across technical and business teams.
Ability to simplify complex AI concepts for broad audiences.
Changeleadership mindset with a focus on adoption and business outcomes.
High learning agility and comfort navigating ambiguity.
Experience/Education:
Typically requires a minimum of 15 years of related experience with a Bachelors degree; or 12 years and a Masters degree; or a PhD with 8 years of experience; or equivalent experience.
Barriers to entry exist at this level; may require additional review and approval
Required Experience:
IC