Global PLM & AI Transformation Lead

Stellantis•Auburn Hills, MI

About The Position

At Stellantis, the Global PLM & AI Transformation Lead will help evolve global Manufacturing Engineering processes by combining Product Lifecycle Management (PLM), enterprise data, and Artificial Intelligence. The role focuses on improving work practices, innovation, and the ability to scale organizational knowledge. The position leads PLM transformation initiatives and applies AI and Generative AI to knowledge management, process analysis, documentation, automation, and engineering decision-making. It captures manufacturing expertise as structured, searchable, reusable knowledge assets and supports PLM integrations across Teamcenter X, manufacturing applications, enterprise platforms, and legacy systems. The role partners with Manufacturing Engineering, ICT, and global stakeholders to define requirements, address business challenges, and support solution deployments, while evaluating emerging PLM and AI technologies to improve productivity, innovation, and process harmonization.

Requirements

  • Bachelor's degree in Engineering, Manufacturing Engineering, Computer Science, Information Technology, or a related technical field.
  • Five years' experience with Product Lifecycle Management (PLM) systems and manufacturing or process engineering environments.
  • Five years' experience with engineering data management, system integration, data migration, or digital transformation initiatives.
  • Experience with Siemens Teamcenter, Teamcenter X, and Active Workspace.
  • Working knowledge of Artificial Intelligence and Generative AI applications.
  • Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
  • Experience working with global teams.

Nice To Haves

  • Automotive Manufacturing Engineering experience, including process planning, Bill of Process (BOP), process sheets, tooling, or manufacturing resources.
  • Experience with Snowflake, Azure, SQL, APIs, or enterprise data integration technologies.
  • Experience with Generative AI, Retrieval-Augmented Generation (RAG), intelligent search, AI agents, or AI-enabled knowledge management solutions.
  • Experience supporting enterprise PLM transformations, User Acceptance Testing (UAT), data migration, and production deployments.
  • Familiarity with Digital Manufacturing, Digital Thread, Industry 4.0, or Digital Twin concepts.

Responsibilities

  • Lead PLM transformation initiatives supporting global Manufacturing Engineering processes, including process planning, Bill of Process (BOP), tooling, manufacturing resources, standards, and engineering data.
  • Leverage AI and Generative AI to improve knowledge management, process analysis, documentation, automation, and engineering decision-making.
  • Capture and transform critical manufacturing expertise into structured, searchable, and reusable knowledge assets.
  • Support PLM integrations across Teamcenter X, manufacturing applications, enterprise platforms, and legacy systems.
  • Partner with Manufacturing Engineering, ICT, and global stakeholders to define requirements, solve business challenges, and support successful solution deployments.
  • Evaluate and implement emerging PLM and AI technologies that drive productivity, innovation, and process harmonization.
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