Master Data Project Manager (m/f/x)

Job Description

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.
is a part of ZEISS. We look forward to receiving your application regardless of your background.
Apply now! It takes less than 10 minutes.

Responsibilities

• 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.

• Help our business units establish Master Data standards and increase the quality level of Master Data in ERP, MDG, CRM, and consuming systems.

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

• Play a crucial role in digital transformation projects.

• Ensure project deliverables meet quality standards.

Qualifications

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

• At least 5 years of 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 the technical feasibility of data-driven products and services.

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

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

• Excellent English and German skills.

JBRP1_DE