0Expert PLM & Engineering Transformation (AI-Driven Future Engineering) (d/m/w/x)
Mercedes-Benz AG | Germany | 71xxx Böblingen | Permanent position | Full time / Home office | Published since: 24.09.2026 on stepstone.de ♿️

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

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER000481X

Your tasks • Your profile • What we offer

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER000481X Design the future of Product Lifecycle Management at Mercedes-Benz with us. We shape the future of engineering at Mercedes-Benz. With an AI-first Way of Working, intelligently connected product data and data-driven decisions, we reduce the time-to-market of future vehicles sustainably. Mercedes-Benz stands for innovation, quality and technological excellence. In order to develop the most desirable vehicles in the future faster, more efficient and data-based, we modernise PLM.AI as one of the central foundations of our product development. PLM.AI is not a classic IT project. It is a company-wide transformation of the way we use product data, meet engineering decisions, design processes and work with AI in the future. The historically grown PLM/PDM landscape combines central processes of development, production, purchasing, sales and after sales across global locations. You work in the change management & transformation team of PLM.AI. We ensure that PLM.AI is not only technically introduced, but is understood, accepted, applied and anchored in the organization. We work at the interface of: Product Lifecycle Management and Automotive Engineering

Business, IT and Architecture

AI Adoption and Enablement

Leadership Alignment, Organisational Development and Cultural Change

sustainable anchoring of new working methods

Our claim is clear: transformation is more than communication. It becomes effective when people understand new ways of working (working with AI), courageously apply and actively shape. Your tasks in detail: strategically designing PLM transformation You develop the change and transformation strategy for PLM.AI and implement it effectively in a complex, international environment

You analyze cross-departmental impacts on processes, roles, responsibilities, competencies and cooperation and guide strategic recommendations and concrete measures

You translate complex technical and technical PLM content into understandable change logics, target images and decision bases for different target groups

You develop alternative scenarios and integrierst business, engineering and IT requirements in sustainable transformation approaches

You work closely with journey teams, fundamentals, PLM and business architecture, IT, departments and external partners and tax challenging stakeholder configurations

Automotive PLM and Future Engineering You analyze complex PLM, engineering and data management processes along the entire product life cycle

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 importance of EBOM, MBOM, SBOM, Configuration Management, Release Processes and Digital Mock-Up for an Integrated Product Development

You evaluate historically grown working methods, system and interface landscapes in terms of sustainability, degree of integration and AI potential

You support the long-term orientation of a modern, scalable and AI-capable PLM logic across development, production, purchasing, sales and after sales

Evaluate new technologies and accelerate AI adoption You recognize, analyze and evaluate new technologies and developments in the IT and AI market in terms of their benefits for PLM and engineering

You initiate and accompany evaluation projects and use cases, including research as well as internal and external experts

You develop approaches to how AI can be used practically, responsibly and effectively for better decisions, faster processes, higher data quality and new ways of working

You support executives, teams and users in transition to an AI-first Way of Working

You design scalable enablement formats, such as workshops, learning journeys, communities and multiplier networks

Bringing people and organization into motion You recognize resistances, uncertainties and run-in routines in complex engineering organizations and develop targeted interventions

You work with stakeholders at eye level, even without direct leadership, and create alignment between business and IT

You bring an international outside-in perspective and question established group patterns respectfully, but consistently

You make sure that transformation does not end in PowerPoint, but becomes visible in behavior, decisions and daily collaboration

Measuring impact and controlling transformation You design and drive readiness, adoption, acceptance and impact measurements

You analyze results, make progress, risks and action requirements transparent and implement concrete measures for leadership, communication, enablement and implementation

You evaluate the effectiveness and benefits of the transformation measures and think transformation consistently from the result

Ideally, you bring the following: Outstanding degree with IT - Contents

Multiannual experience in demanding PLM, engineering, digitization or transformation projects, ideally in the automotive or industrial environment

Funded knowledge of Product Lifecycle Management, Product Data Management or Engineering Data Management as well as experience with marketable PLM systems

Practical knowledge in several of the following topics: EBOM, MBOM, SBOM, Variant Configuration, Engineering Change, Configuration Management, Release Processes, Digital Thread, Data Quality, Process Harmonization, PLM Operating Models or Governance

Experience in global or international PLM, engineering or digital transformations as well as in change management, adoption or enablement in technical environments

Detectable experience in the introduction, 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 beneficial

You have experienced transformations (also outside established corporate structures) and bring best practices of leading technology, engineering or industrial companies with

German and English fluent in word and writing

Other languages and international work experience are advantageous

Personal competencies: the ability to quickly capture, structure and translate complex technical, organizational and strategic relationships into sustainable solutions

pronounced analytical, conceptual and strategic thinking and a very independent, responsible and solution-oriented approach

high self-initiative, earnings orientation, ready-to-use and consistent implementation strength

Joy in demanding tasks, the design of solutions and the development of processes and methods

Sovereignty in complex stakeholder configurations and the ability to integrate different perspectives and create orientation

excellent communication skills and a cooperative, convincing handling of 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 design space and to take new paths

PLM.AI is one of the central transformations for the future product development at Mercedes-Benz. This is not just about systems. It is about how we develop, decide, work together and use AI in the future. You think transformation end-to-end, identify relationships across organizational, process, data and system boundaries and develop sustainable solutions with measurable effect. We are looking for pioneers of a new engineering world. People who control PLM, drive change and use AI as the key to the next generation of product development. Additional information: It is an indefinite body. We look forward to your online application with CV, Letters and Certificates. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-sindelfingen@mercedes-benz.com) is happy to support you in the application process. People Solutions will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café

Location

ava Mercedes-Benz AG
71032  Böblingen
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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