Master Data Quality Manager (m/f/x)

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 silence 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, MDG, CRM and consuming systems Work close 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, Business Partner 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 success 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

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