Supplier Data Manager

Vor 4 Tagen

Böblingen, Baden-Württemberg, Deutschland Advantest Vollzeit
  • 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.
Qualifications
  • 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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