Master Data Quality Manager
Budapest - ZDI
ZEISS Group
ZEISS is an international leading technology enterprise operating in the optics and optoelectronics industries.Your Role
· 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
Your Profile
· 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
Your ZEISS Recruiting Team:
Bartha Györgyi, Bartók Tímea, Fedor Fanni, Meláth Laura, Sturcz Noémi, Sztaskó Daniella, Wenner Lili* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Data quality R
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.