(Senior) Associate Production Master Data Management (m/f/d) at KWS Group
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

24 Nov, 25

Salary

0.0

Posted On

25 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

For our Master Data Management team in KWS Berlin GmbH, we are looking for a proactive and detailed-oriented candidate as an Associate Production Master Data Management (m/f/d) in Berlin. In this role you will play a vital part in the efficient management of master data records, provide support in project management and process improvement. This position will focus specifically on managing and governing product-related data, ensuring smooth operations supporting KWS Business Units globally.
This job is full-time (38h/week), hybrid (40% home-office) and limited to 2 years with possibility for extension.

Responsibilities
  • Strong expertise in SAP PP (Production Planning), including application of validation rules, data governance, master data standards, and experience with custom fields or system enhancements.
  • Proficient in variant configuration, including use of classes, characteristics, dependencies, super BOM/routing, and integration between sales and production processes.
  • Skilled in root cause analysis using SAP transactions with a focus on implementing preventive actions to avoid issue recurrence.
  • Serve as a subject matter expert with content, processes and procedures associated with SAP MM and PP modules;
  • Initiate and carry out regular data quality activities to ensure high level compliance and consistency of master data;
  • Create and maintain standard operating procedures and training documentation and perform end-user training;
  • Identify, report and resolve data quality issues through root cause analysis;
  • Support KWS migration activity performing the necessary tasks during the roll-out (knowledge transfer, system integration and testing, activity transfer, user training);
  • Support and implement data management methodologies that support KWS business initiatives.
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