Perform Master Data daily and regular checks: Data Quality and Consistency: Ensuring that master data (e.g., product information, customer records, etc.) is correct, complete, timely maintained and used consistently across all systems.
- Perform Master Data quality and accuracy daily checks
- Perform other regular checks
- Monitor the various Master Data interfaces (Item tree, Items to MDS, Recipient places from Location Manager.)
Master Data Objects Maintenance: ERP System Management: Managing master data within an ERP (Enterprise Resource Planning) system, which integrates core business processes like supply chain, Procurement, finance and operations.
- Items creations, updates in the ERP
- Ensure the item propagation to appropriate contexts based on pre-defined rules.
- Manage phase-in / phase-out of items. (obsolescence analysis, maintain the replacement Cross reference table)
- Maintain customers. (Delivery address, internal, external customers, inter site customers) in the ERP
- Maintain other Master Data: Transport, procurement, warehousing, planning, MRP, BOM, new sites.
Support: Manage Incidents and service requests related to Master Data Management from internal customers.
- Provide solutions to Master Data related incidents and requests. Perform root cause analysis.
- Perform tests (User Acceptance, Non-regression, Computer System Validation…) periodically.
Data Analysis: Analyzing data to identify trends, insights, and opportunities for improvement.
Training: Educating teams on how to use and maintain data correctly, ensuring they adhere to data management best practices.
- Give key-user trainings on master data related topics.
- Give training to new logisticians on master data related topics.
Collaboration: Working with various departments (e.g., finance, operations, supply chain) to ensure data needs are met and that the information supports business decision-making.
- Participate in assigned regular meetings, provide feedback and alerts to the Global Master Data Manager in case of potential impactive deviations.
- Contribute to the creation of a shared knowledge base.
- Contribute to implement new daily / Regular Master Data checks
Process Improvement: Identifying opportunities to improve data-related processes and workflows, ensuring they are efficient and scalable.