- Key Roles and Responsibilities 1. Stakeholder Collaboration & Business EngagementParticipate in data quality implementation discussions with business stakeholders.
- Engage in architecture discussions around the Data Quality framework.
- Collaborate with O2C, Tax, Trading Partner Finance, Logistics teams to gather business rules.
- Provide business requirements to BODS/LSMW teams to support data loads.
- Review and track exceptions related to data quality rules; incorporate logic into tools.
- Capture sign-offs from key stakeholders at critical project milestones.
- Identify and drive continuous improvements in data standards, data quality rules, and maintenance processes in collaboration with business and MDM teams.
- 2. Data Quality Rules & Standards DefinitionDefine and document data quality rules based on business and compliance needs.
- Translate business rules into technical definitions to support tool development.
- Support the development of rules in data quality (DQ) tools.
- Validate rule outputs and communicate findings to business stakeholders.
- 3. Data Profiling, Cleansing & MonitoringCreate and maintain data quality dashboards and reports.
- Review customer master data profiling results and suggest cleansing opportunities.
- Support the design and execution of a Data Quality Framework.
- Conduct root cause analysis and suggest process/system improvements.
- Execute pre- and post-validation checks as part of cleansing efforts.
- 4. Customer Master Data Management (SAP)Manage and maintain customer master data directly in SAP where BODS cannot be used.
- Ensure accuracy, consistency, and completeness across customer records.
- Lead initiatives for identifying obsolete records and define deactivation criteria.
- 5. Data Migration, Integration & Tool SupportCollaborate with IT teams on data migration, cleansing, and validation activities during SAP projects or enhancements.
- Analyze business processes and translate them into functional specifications to enhance master data processes.
- Recommend system/process enhancements to improve data quality and governance.
Skills Required Core Experience10+ years of experience with SAP Customer Master module.
- Strong knowledge of SAP O2C (Order to Cash) T-codes and fields.
- Extensive hands-on experience in creating, maintaining, and validating customer master data.
- Domain KnowledgeFamiliarity with industry-specific customer processes, including:
- Credit Management
- Intercompany Trading
- Trading Partner Finance
- Tax Configuration
- In-depth understanding of customer master lifecycle: creation, change, extension, obsolescence, deletion.
Data Quality & GovernanceStrong skills in defining, documenting, and enforcing data quality rules.
- Experience in data profiling, cleansing, and standardization.
- Ability to perform root cause analysis and define remediation strategies.
- Proficiency in documenting data standards and definitions.
Tools & TechnologiesSAP ECC / S/4HANA
- SAP SD / O2C
- SAP BODS (BusinessObjects Data Services)
- SAP LSMW recording, field mapping, batch input
- SAP SE16N, SQVI, and custom reporting
- Excel, Power BI, SAP IS, Tableau
- Experience with data quality tools (DQ dashboards, exception reporting)
Sap Master Data Consultant, Sap Customer Master Management, Customer Master Data Management, Sap Bods
