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Open nowPosted 64 days ago

Master Data Specialist

randstadhu423 open roles

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Your applicationOpen nowMaster Data Specialistrandstadhu

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Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 64 days ago

The posting

  • Hybrid or fully remote (depending on location)
  • Global role with minimal time-zone flexibility
  • Travel up to ~20%, project-based
  • No on-call duty

Competencies:

  • Best practice in SAP Master Data Governance / Management
  • Knowledge of SAP – S/4 in an engineering & manufacturing environment
  • Driving change management at multi-national company
  • SAP master data
  • Material creation, change and obsoletion workflows
  • Increase data quality within the organization
  • Reporting: Data quality controls, dashboards and KPIs
  • Process documentation, training and change adoption

Key Performance Indicators:

  • Master Data completeness and accuracy
  • Critical masterdata defect reduction
  • Workflow compliance and optimization
  • Cleanup backlog against priorities
  • On-time Project data readiness
  • Train the trainers

Minimum Qualifications (if applicable include physical requirements to comply with ADA):

  • Education: Bachelor’s degree in Business Information Systems, Engineering, Supply Chain, Data Management or a related discipline, or equivalent practical experience.
  • Experience: 3+ years in SAP master data, data governance, data quality or business process design.
  • SAP expertise: Hands-on experience with SAP master data; knowledge of MM and PP, BOMs, routings, workflows and mass maintenance.
  • Data skills: Office package (Excel and data analysis skills); reporting/dashboard experience is an advantage.
  • Business environment: Experience in manufacturing, supply chain, Engineer-to-Order or Configure-to-Order environments preferred.
  • Working style: Structured, analytical and pragmatic, with attention to detail and the ability to explain data issues in business terms.
  • Communication: Fluent English and confidence collaborating with Engineering, Production, Purchasing, Sales, Finance, IT and Logistics stakeholders.

As part of the Central MDM Team, you will help establish and operate Cimbria’s centralized master data governance model, with shared accountability for governance, standards, data quality, prioritization, escalation and cross-stream coordination. You will translate governance policies into practical SAP processes and controls, improve material master data quality, and support the data foundation required for the N.E.O. program, SAP CPQ and Variant Configuration. You will collaborate across Sales, Purchasing, Engineering, Production, Quality, Finance, Warehouse and Logistics, with responsibilities allocated according to business priorities, workload and expertise. Business streams remain accountable for creating and maintaining their data, while the Central MDM Team sets the rules, monitors quality and coordinates cross-stream decisions.

Job Responsibilities:

  • Central MDM Team accountability: Work as part of the Central MDM Team and contribute to its governance, data quality, prioritization and escalation mandate.
  • Governance and standards: Jointly define, maintain and enforce SAP standards, field specifications, naming conventions and decision rules across all business streams.
  • Data quality and cleanup: Profile material master data, identify duplicates and critical gaps, coordinate cleansing and enrichment, and verify migrated or newly created records.
  • Business enablement: Onboard and train stream data owners, stewards and super users; and escalate persistent breaches.
  • Cross-functional coordination: Clarify the source-of-truth relationship between all connected systems and coordinate cross-stream master data issues and decisions.
  • Reporting: Support data readiness, standard routings and BOM structures, and maintain dashboards, KPIs and prioritized remediation backlogs.
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