Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

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  • Support the development and implementation of technical solutions to monitor and improve data quality across the enterprise, with a strong focus on SAP R/3 and S/4HANA

  • You will help our business units to establish Master Data standards and increase the quality level of Master Data in ERP, CRM and consuming systems

  • Work closely with cross-functional teams, including business users, data owners and IT teams, to ensure technical solutions consider end-2-end processes

  • You will play a crucial role in digital transformation Projects

  • Ensure project deliverables meet quality standards

  • An successfully completed studies preferably business informatics, information technology or a technical education in informatics, paired with a passion for master data and data quality

  • At least 5 years relevant professional experience, experience in a consultant role is a plus

  • Experience in SAP Material Master Data and the corresponding processes

  • Strong understanding of SAP data and system architecture

  • The ability to structure and develop your own frameworks and communicate them in a structured and easy-to-grasp way

  • A natural interest in state-of-the-art technological developments and a good understanding of technical feasibility of data-driven products and services

  • A proven track record of agile project experience and agile project management success stories

  • Been part of a data project end-to-end, from data cleaning to data integration, modelling, and productizing

  • Excellent English and German skills