Shape the Future of Manufacturing Engineering
At Stellantis, we're transforming the future of mobility through advanced engineering, digital innovation, and global collaboration. As a Global PLM & AI Transformation Lead, you'll help drive the evolution of our Manufacturing Engineering processes by combining Product Lifecycle Management (PLM), enterprise data, and Artificial Intelligence to improve how we work, innovate, and scale knowledge across the organization.
What You'll Do
- 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.
Basic Qualifications:
- 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, 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.
Preferred Qualifications
- 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.
Why Join Stellantis?
This is an opportunity to help define the next generation of Manufacturing Engineering by combining PLM, data, and AI to create smarter processes, preserve critical expertise, and drive innovation across a global organization. You'll work with cutting-edge technologies, collaborate with industry experts, and play a key role in Stellantis' digital transformation journey.
