Functional Consultant – Supplier/Vendor Master(RARR Job 5130)

1. Stakeholder Collaboration & Business Engagement

• Lead discussions with business and technical stakeholders (Procurement, P2P Finance, Supply Chain) to gather data quality and business rule requirements.

• Engage in architecture discussions for the Data Quality framework.

• Provide detailed business requirements to BODS/LSMW teams for enabling accurate data loads.

• Review data quality rule exceptions, incorporate logic enhancements, and secure stakeholder sign-offs at key stages.

• Identify continuous improvement opportunities in data governance and maintenance processes.

2. Data Quality Rules & Standards Definition

• Define and document business-driven data quality rules aligned with functional specs and compliance standards.

• Translate business rules into technical logic for development and validation in Data Quality tools.

• Support development and testing of rules in data quality platforms; validate and communicate results to stakeholders.

3. Data Profiling, Cleansing & Monitoring

• Analyze supplier data to identify cleansing opportunities through profiling reports.

• Support creation of dashboards/reports to track data quality metrics, errors, and improvements.

• Conduct root cause analysis on data issues and recommend process/system control improvements.

• Execute data cleansing tasks, including pre- and post-validation activities within migration projects.

4. Supplier/Vendor Master Data Management (SAP)

• Maintain and manage vendor master data in SAP (when BODS is not applicable).

• Ensure data integrity—accuracy, completeness, and consistency—across all vendor records.

• Lead initiatives on obsolete data management, including defining deactivation and retention criteria.

5. Data Migration, Integration & Tool Support

• Collaborate with IT teams during SAP projects for vendor data migration, cleansing, and validation.

• Translate business issues into actionable data quality or migration plans with a tool-driven approach.

• Recommend and support system/process enhancements to strengthen master data governance.