Expert PLM & Engineering Transformation (AI-Driven Future Engineering) (d/m/w/x)

Tasks

Shape the future of Product Lifecycle Management at Mercedes-Benz through PLM.AI, an enterprise-wide transformation of product data usage, engineering decisions, processes, and AI-enabled ways of working.

As part of the Change Management & Transformation team, you will ensure that PLM.AI is understood, accepted, applied, and sustainably embedded across the organization.

• Develop and implement the PLM.AI change and transformation strategy in a complex international environment.
• Analyze cross-functional impacts on processes, roles, responsibilities, capabilities, and collaboration, and derive strategic recommendations and concrete measures.
• Translate complex PLM and technical content into understandable change models, target visions, and decision-making materials.
• Work with Journey teams, Fundamentals, PLM and business architecture, IT, specialist departments, and external partners.
• Analyze PLM, engineering, and data-management processes across the entire product lifecycle.
• Work on Product Structure, Part Management, Engineering Change, Approval, Validity Control, Bill of Material, variant logic, Digital Thread, and data quality.
• Assess EBOM, MBOM, SBOM, Configuration Management, release processes, and Digital Mock-Up for integrated product development.
• Evaluate new technologies and AI-market developments for their value in PLM and engineering.
• Develop responsible and effective AI use cases for better decisions, faster processes, improved data quality, and new ways of working.
• Support leaders, teams, and users in transitioning to an AI-first way of working.
• Design scalable enablement formats such as workshops, learning journeys, communities, and multiplier networks.
• Identify resistance and uncertainty, develop targeted interventions, and create alignment between business and IT.
• Design and drive readiness, adoption, acceptance, and impact measurements.
• Analyze results, make progress and risks transparent, and derive concrete actions for leadership, communication, enablement, and implementation.

Qualifications

• Excellent degree with IT content.
• Several years of experience in demanding PLM, engineering, digitalization, or transformation initiatives, ideally in automotive or industrial environments.
• Strong knowledge of Product Lifecycle Management, Product Data Management, or Engineering Data Management and experience with established PLM systems.
• Practical knowledge of several areas including EBOM, MBOM, SBOM, variant configuration, engineering change, configuration management, release processes, Digital Thread, data quality, process harmonization, PLM operating models, or governance.
• Experience with global or international PLM, engineering, or digital transformations and change management, adoption, or enablement in technical environments.
• Demonstrated experience introducing, scaling, or adopting AI, GenAI, or Copilot solutions in engineering, product development, or knowledge-work environments.
• Experience with AI agents, agentic workflows, knowledge retrieval, or digital engineering assistants is an advantage.
• Fluent German and English, both written and spoken.
• Additional languages and international experience are advantageous.
• Strong analytical, conceptual, strategic, communication, stakeholder-management, and implementation skills.
• International perspective, openness, intercultural competence, and the courage to challenge established ways of thinking.

Additional information

This is a permanent position. Please submit your online application with a CV, cover letter, and certificates.

Contact: Sofia Stauber, sofia.stauber@mercedes-benz.com