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SICK AG

Inhouse Material Master Data Consultant (f/m/d)

SICK AG, Germantown, Ohio, United States

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Inhouse Material Master Data Consultant (f/m/d) SICK is one of the world’s leading solutions providers for sensor-based applications in the industrial sector. Founded in 1946 by Dr.-Ing. e. h. Erwin Sick, the company with headquarters in Waldkirch im Breisgau near Freiburg ranks among the technological market leaders. With 63 subsidiaries and equity investments as well as numerous agencies, SICK maintains a presence around the globe. SICK has more than 10,000 employees worldwide and generated a group revenue of EUR 2.1 billion in the 2024 fiscal year.

Responsibilities

Lead and support projects in master data management (data analysis, migration, and quality), with a strong focus on the implementation of SAP MDG-M

Develop and enhance business rules based on internal and external requirements in alignment with all stakeholders

Actively support central product data distribution, migration tasks, and ERP/PLM projects

Provide expert advice on product and material master data, analyze requirements, and highlight system capabilities

Ensure high-quality master data across the entire organization

Drive knowledge management and training on data management topics across the organization

Qualifications

University degree in Business Administration, Industrial Engineering, Computer Science, or a comparable qualification

Experience and solid knowledge of SAP modules (MM, PP), SAP Master Data Governance, and SAP S/4HANA preferred

Experience with PLM systems is an advantage

Excellent command of English

Strong analytical and conceptual skills

Confident communicator with the ability to collaborate across departments

Self-directed and structured working style

Requisition-ID:

36741

Location:

Waldkirch (bei Freiburg)

Contract Type:

Permanent

Contact:

Gabriele Pontiggia

EEO Statement At SICK, we see people, not gender. We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.

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