Aktuelle Jobs im Zusammenhang mit Data Quality Assurance Lead - Oberkochen, Baden-Württemberg - ZEISS


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Data Quality Assurance Lead

vor 2 Monaten


Oberkochen, Baden-Württemberg, Deutschland ZEISS Vollzeit
Step Beyond Limits
At ZEISS, we encourage our employees to step out of their comfort zones, excel, and redefine the boundaries of what is achievable. Every day, our team members are engaged in setting the pace through innovation and driving remarkable accomplishments. Behind every successful organization are dedicated and fascinating individuals.

Empowering Environment
In a spacious and modern workplace filled with opportunities for professional growth, ZEISS employees thrive in an atmosphere where expertise and collaboration are paramount. Our unique ownership structure and the long-term vision of the Carl Zeiss Foundation aim to advance science and society together.

Your Role
As a key player in our organization, you will:
  • Support the development and execution of technical solutions to monitor and enhance data quality across the enterprise, with a strong emphasis on SAP R/3 and S/4HANA.
  • Assist business units in establishing Master Data standards and elevating the quality of Master Data within ERP, CRM, and related systems.
  • Collaborate closely with cross-functional teams, including business users, data owners, and IT professionals, to ensure that technical solutions address end-to-end processes.
  • Contribute significantly to digital transformation projects.
  • Ensure that project deliverables adhere to quality benchmarks.

Your Qualifications
We are looking for candidates who possess:
  • A degree in business informatics, information technology, or a technical field related to informatics, combined with a passion for master data and data quality.
  • A minimum of 5 years of relevant professional experience; experience in a consulting role is advantageous.
  • Expertise in SAP Material Master Data and associated processes.
  • A strong grasp of SAP data and system architecture.
  • The capability to structure and develop frameworks and communicate them in a clear and comprehensible manner.
  • A genuine interest in cutting-edge technological advancements and a solid understanding of the technical feasibility of data-driven products and services.
  • A proven history of agile project experience and successful agile project management.
  • Experience in data projects from inception to completion, including data cleansing, integration, modeling, and productization.
  • Proficiency in both English and German.