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Supplier Data Manager (m/f/d)
Böblingen
Aktualität: 09.01.2026

Anzeigeninhalt:

09.01.2026, Advantest Europe GmbH
Böblingen
Supplier Data Manager (m/f/d)
Aufgaben:
Supplier Data Specification Governance: Define, document, and maintain the standardized Supplier Data Specification (data catalogue), including data definitions, acceptance criteria, frequency of exchange, and exception handling, ensuring alignment with Advantest's procurement and operational objectives Current-State Mapping and Gap Analysis: Lead the rapid assessment of existing supplier data flows, interfaces, and schemas to establish an «as-is» baseline, identify gaps against the defined specification, and drive a prioritized remediation plan Supplier Engagement and Data Stewardship: Establish and manage relationships with supplier data owners, implement alerting and escalation processes for data quality violations, and drive adherence to standards through governance forums and supplier scorecards Data Quality: Define and monitor data quality KPIs (completeness, timeliness, accuracy, conformance), integrate them into supplier performance scorecards, and act as the subject matter expert for implementing a Supplier Collaboration platform for supplier data exchange.
Qualifikationen:
Senior Data Management Expertise: Demonstrated experience (7-10 years) in data governance, data quality, or master/reference data management within procurement or supply chain environments, with a proven ability to define and enforce data standards and catalogues Technical and Integration Knowledge: Strong understanding of data exchange technologies (APIs, EDI, CSV/XML, SFTP), schema design, validation rules, and exception handling. Hands-on experience in Coupa or similar procurement/data platforms preferred Supplier Engagement and Change Leadership: Exceptional ability to identify supplier data owners, negotiate data standards, and drive compliance through SLAs, scorecards, and governance forums, supported by strong communication and stakeholder management skills Delivery Mindset and Analytical Capability: Ability to hit the ground running by executing discovery, gap analysis, and remediation, combined with expertise in defining KPIs, building dashboards, and using data-driven insights to prioritize improvements

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