Job
- Level
- Experienced
- Location
- Sindelfingen
- Working Model
- Onsite
- Job Field
- Application, Project
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will shape PLM transformation, analyze engineering processes, and implement AI-driven solutions to sustainably enhance product development and improve decision-making capabilities.
Job Technologies
Your role in the team
- Shape the future of Product Lifecycle Management with us at Mercedes-Benz.
- We are shaping the future of engineering at Mercedes-Benz. With an AI-first way of working, intelligently connected product data, and data-driven decisions, we sustainably shorten the time-to-market of future vehicles.
- Mercedes-Benz stands for innovation, quality, and technological excellence. To continue developing the most desirable vehicles faster, more efficiently, and based on data in the future, we are modernizing one of the core foundations of our product development with PLM.AI.
- PLM.AI is not a traditional IT project. It is an enterprise-wide transformation of how we utilize product data, make engineering decisions, design processes, and work with AI in the future. The historically developed PLM/PDM landscape connects core processes of development, production, procurement, sales, and after-sales across global locations.
- You work in the Change Management & Transformation team at PLM.AI. We ensure that PLM.AI is not only technically implemented but also understood, accepted, applied, and sustainably embedded within the organization.
- We operate at the intersection of: Product Lifecycle Management and Automotive Engineering, Business, IT and Architecture, AI Adoption and Enablement, Leadership Alignment, Organizational Development and Cultural Change, sustainable integration of new working methods.
- Our goal is clear: Transformation is more than communication. It becomes effective when people understand new ways of working (working with AI), apply them courageously, and actively shape them.
- Shape PLM transformation strategically: You develop the change and transformation strategy for PLM.AI further and implement it effectively in a complex, international environment.
- You analyze cross-functional impacts on processes, roles, responsibilities, competencies, and collaboration, and derive strategic recommendations as well as concrete measures.
- You translate complex technical and professional PLM content into understandable change management strategies, target images, and decision-making bases for different target groups.
- You develop alternative scenarios and integrate business, engineering, and IT requirements into viable transformation approaches.
- You work closely with Journey teams, Fundamentals, PLM and Business Architecture, IT, business units, as well as external partners, and manage complex stakeholder constellations.
- Deeply understand Automotive PLM and Future Engineering: You analyze complex PLM, engineering, and data management processes throughout the entire product lifecycle.
- You work on topics such as product structure, part management, engineering change, approval, validity control, bill of material, variant logic, digital thread, and data quality.
- You understand the significance of EBOM, MBOM, SBOM, Configuration Management, Release Processes, and Digital Mock-Up for integrated product development.
- You evaluate historically developed workflows, system and interface landscapes in terms of future viability, degree of integration, and AI potential.
- You support the long-term alignment of a modern, scalable, and AI-capable PLM logic across development, production, procurement, sales, and after-sales.
- Evaluate new technologies and accelerate AI adoption: You identify, analyze, and assess new technologies and developments in the IT and AI markets with regard to their benefits for PLM and engineering.
- You initiate and oversee evaluation projects and use cases, involving research as needed, as well as internal and external experts.
- You develop approaches on how AI can be practically, responsibly, and effectively used for better decision-making, faster processes, higher data quality, and new ways of working.
- You support executives, teams, and users in transitioning to an AI-first way of working.
- You design scalable enablement formats, such as workshops, learning journeys, communities, and multiplier networks.
- Driving people and organizations forward: You recognize resistance, uncertainties, and entrenched routines in complex engineering organizations and develop targeted interventions.
- You work with stakeholders at eye level, even without direct authority, and create alignment between Business and IT.
- You bring an international outside-in perspective and respectfully but consistently challenge established corporate patterns.
- You ensure that transformation does not end in PowerPoint but becomes visible in behavior, decisions, and daily collaboration.
- Measuring impact and steering transformation: You design and drive readiness, adoption, acceptance, and impact measurements.
- You analyze results, make progress, risks, and the need for action transparent, and derive concrete measures for leadership, communication, enablement, and implementation.
- You evaluate the effectiveness and benefits of transformation measures and consistently think of transformation from the outcome.
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Our expectations of you
Education
- Ideally, you bring the following: Outstanding degree with IT content.
Qualifications
- Practical knowledge in several of the following areas: EBOM, MBOM, SBOM, Variant Configuration, Engineering Change, Configuration Management, Release Processes, Digital Thread, Data Quality, Process Harmonization, PLM Operating Models, or Governance.
- You have experienced transformations (even outside established corporate structures) and bring best practices from leading technology, engineering, or industrial companies.
- Fluent in German and English, both written and spoken.
- Personal competencies: the ability to quickly grasp, structure, and translate complex technical, organizational, and strategic contexts into viable solutions.
- Strong analytical, conceptual, and strategic thinking skills, as well as a highly independent, responsible, and solution-oriented work approach.
- High level of initiative, results orientation, commitment, and consistent implementation strength.
- Enjoyment of challenging tasks, designing solutions, as well as developing processes and methods.
- Confidence in complex stakeholder constellations and the ability to integrate different perspectives and provide orientation.
- Excellent communication skills and a cooperative, persuasive approach with business partners, executives, suppliers, and external partners.
- International perspective, openness, and intercultural competence.
- Courage to question established ways of thinking, to use uncertainty as a space for shaping, and to explore new paths.
Experience
- Several years of experience in demanding PLM, engineering, digitalization, or transformation projects, ideally in the automotive or industrial environment.
- In-depth knowledge of Product Lifecycle Management, Product Data Management, or Engineering Data Management, as well as experience with market-leading PLM systems.
- Experience in global or international PLM, engineering, or digital transformations as well as in change management, adoption, or enablement in technical environments.
- Proven experience in the implementation, scaling, or adoption of AI, GenAI, or Copilot solutions in engineering, product development, or knowledge work environments.
- Experience with AI Agents, Agentic Workflows, Knowledge Retrieval, Digital Engineering Assistants, or comparable AI solutions is advantageous.
- Additional languages and international work experience are an advantage.
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What we offer
- PLM.AI is one of the key transformations for future product development at Mercedes-Benz. It's not just about systems. It's about how we will develop, decide, collaborate, and utilize AI in the future.
- You think in terms of end-to-end transformation, recognize interconnections across organizational, process, data, and system boundaries, and develop sustainable solutions with measurable impact.
- We are looking for pioneers of a new engineering world. People who master PLM, drive change, and leverage AI as a key for the next generation of product development.
- Additional information: This is a permanent position.
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Benefits
Higher Take-Home Pay
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Mercedes - Benz AG
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
Description
- Founding Year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)4.4
Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Expert PLM & Engineering Transformation
- Location
- Sindelfingen
- Working Model
- Onsite
- Diversity
- Open for all genders
