Technical Program Manager - AI/ML, GOPs AI

We are seeking a highly skilled and versatile AI/ML/Automation Technical Program Manager to help bridge the connection between Global Operations business needs and AI/ML/Automation technical execution. This role will work closely with Operations TPMs, business process owners, Enterprise AI platform teams, vendors, and internal/external delivery partners across the full lifecycle of use-case implementation — from discovery, solution shaping, and build execution through deployment, adoption, run-state transition, and value realization.

Responsibilities

Support evaluation and selection of AI/ML/Automation platforms & methodologies as well as build & run partners to create a robust partner ecosystem; Support creating and evolving a live multi-year GOPs AI Roadmap covering capabilities and value capture; Maintain visibility to GOPs AI portfolio, program health, technical risks, dependencies, system readiness, and resource needs; Drive end-to-end execution of AI/ML/Automation initiatives from discovery through value realization post deployment; Translate business challenges into clear technical problems & requirements. Identify gaps between requirements and feasibility early and drive resolution at speed through tradeoff discussions and escalations; Partner with data engineers, data scientists, information security engineers, and platform teams to ensure required data pipelines, integrations and security protocols are defined and executed; Support the transition from build to run by ensuring ownership, support model, documentation, monitoring requirements including eval metrics, training, and continuous improvement mechanisms are established; Build strong partnerships with GOPs, Enterprise AI, IT, Information Security teams and external partner ecosystem; Act as a trusted advisor to GOPs stakeholders on how AI/ML/Automation capabilities can be applied to transform operational processes, enable intelligent decision-making, and drive productivity gains; Partner with GOPs functional teams to ensure deployed solutions are embedded into business processes and adopted by end users

Requirements

Bachelor’s degree with 12 years of experience, or Master’s degree with 8 years’ experience, or a PhD with 5 years’ experience, or equivalent experience; Exposure to Operations domains - Supply Chain, Manufacturing, Logistics, Planning, Order Management, Spares Operations and adjacent business functions; Demonstrated experience leading complex, cross-functional AI/ML/Automation programs from concept through deployment and operational handoff; Technical fluency in AI/ML/Automation concepts, including predictive modeling, optimization, workflow orchestration, LLM/RAG workflows, intelligent agents, analytics, data pipelines, and Ontology or Knowledge Graph based enterprise platforms; Strong communication skills with the ability to present complex technical and operational topics clearly to both technical and non-technical stakeholders; Ability to operate in ambiguous and fast-moving environments

Nice to have

Experience in semiconductor equipment or similar advanced manufacturing environments