1. Stakeholder Collaboration & Business Engagement
- Engage with business users from Supply Chain, Manufacturing, and Quality to gather and document data requirements.
- Participate in Data Quality framework discussions with architecture and governance teams.
- Provide clear business input to BODS/LSMW teams to support accurate data loads and integrations.
- Monitor data quality rule exceptions, incorporate improvements, and secure timely stakeholder sign-offs.
- Identify continuous improvement opportunities in data standards, rules, and maintenance processes.
2. Data Quality Rules & Standards Definition
- Define, document, and enforce material master data quality rules aligned with business needs and compliance standards.
- Translate functional business rules into technical logic for implementation in data quality tools.
- Assist in rule development, testing, and validation, ensuring business understanding and approval of outputs.
3. Data Profiling, Cleansing & Monitoring
- Develop dashboards and reports to monitor data quality metrics and issues.
- Review profiling results for material master data to identify cleansing or enrichment needs.
- Support the execution of a robust Data Quality Framework including root cause analysis and improvement recommendations.
- Conduct pre- and post-validation checks during data cleansing initiatives.
4. Material Master Data Management (SAP)
- Manage creation, maintenance, and validation of SAP material master records (especially where BODS is not used).
- Ensure consistency, accuracy, and completeness of material data across systems.
- Lead reviews of obsolete materials and define deactivation and governance processes.
5. Data Migration, Integration & Tool Support
- Collaborate with IT and functional teams on SAP data migration and enhancement initiatives.
- Translate business challenges into actionable technical solutions for better data quality and governance.
- Recommend enhancements to processes and tools supporting material master data governance and compliance.
