Working Student MO360 Product Owner Team - Focus on AI, Data & Communication (Digitalization Production)

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: MER00044EZ Immerse yourself in the world of Mercedes-Benz and actively shape the future of automotive production. As part of our MO360 Product Owner team, you work at the interface of data, artificial intelligence and communication – and help to carry AI topics in an understandable and effective way into the organization. Our goal: Generative AI and data-driven solutions not only develop, but also make them liveable and anchor in the company. Our area MO/ETS deals with the central design, implementation, development and control of digitalization for the global production network of Mercedes-Benz Cars Operations (MO). Digitization is a central component of the production system. MO360 represents our digital backbone for vehicle production, which by using Generative AI and other advanced technologies raises the efficiency and quality of our processes to a new level. In a motivated team, you will advance the design and development of MO360 applications and work closely with production and IT experts. These challenges come to you: Data & AI (technical focus):

Analysis and processing of data to support AI-based use cases

Support in the identification and design of new AI/Data Use Cases in production

Cooperation in the development of reporting and analysis concepts for data-driven decisions

Support in the further development of data structures and concepts in the context of Generative AI

AI Communication & Marketing (organisational focus):

Processing and communication of AI content for different target groups (e.g. presentations, contributions, internal platforms)

Support for internal marketing and enablement activities around AI/GenAI

Development of storylines and communication formats for anchoring AI in the company

Designing workshops, formats or campaigns for the exchange of AI topics

The activity has a flexible starting period.

Studies in Data Science + Communication / Media, Marketing & Data, Media Informatics, Information Management, Digital Transformation Management, Digital Business, etc.

German and English language skills in word and writing

Pre-experience through an internship / other student activity desirable

Above-average commitment and readiness to learn

Ability to make complex technical content understandable

Reliability and organised operation

own initiative and an analytical approach

Communication strength, creativity and structured work

Teamability and openness for new topics

Willingness to challenge the status quo and drive changes independently

What makes you special: You bring a rare combination of technical understanding and communication skills – and you want to hit the bridge between data, AI and organization

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester and proof of the regular study period. 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. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-sindelfingen@mercedes-benz.com) is happy to support you in the application process. HR Services 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