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# SAP Master Data Governance

- **Company:** IBA InfoTech Inc.
- **Location:** Cary, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data as a Services, Data Governance, Extract Transform Load (ETL), Data Migration, Data Profiling, Data Structures, Meta-Data Management, SAP ERP, SAP FI/CO, SAP NetWeaver Data Management, SAP Materials Management, SAP Sales and Distribution, Sap Business Objects, SAPBasis, Information Technology, Data Management
- **Published:** June 14, 2026
- **Apply:** https://ibainfotech.com/sap-master-data-governance

## About the Role

* Minimum of 3 years' experience in Master data management with expertise in implementing SAP Master Data Governance (MDG).
 * Minimum of 3 years' experience working with SAP FI/CO, MM, SD or PM and Master Data
 * Minimum of 2 years' experience with at least one of the major Data Management Solutions for SAP Data Migration (SAP Business Objects Data Services, Informatica ETL and Data Quality Suite, Back Office Associates Data migration Suite)
 * Minimum of 2 years' experience with SAP ERP implementations

Preferred Skills / Qualifications:

 * Minimum of 4 years' experience with at least one of the major Data Management Solutions for SAP Data Migration (SAP Business Objects Data Services, Informatica ETL and Data Quality Suite, Back Office Associates Data migration Suite)
 * Minimum of 2 years' experience with SAP ERP implementations
 * Experience designing and architecting MDM solutions
 * Experience leading and mentoring Master Data Management (MDM) team members
 * Experience implementing Data Governance Best Practices
 * Experience in complex SAP environments supporting multiple components.
 * Apply MDM concepts across technology platforms (sourcing and vending of Master Data)
 * Master Data Domain experience in one or more of the following data domains (e.g. Product, Customer, Client, Provider, Vendor)
 * Consulting skills paired with strong technical skills, to convey the value of an MDM solution to the client (pros/cons, challenges, requirements needed, etc.)
 * Understanding or hands-on experience with data quality, data profiling, and metadata management
 * Understanding of data structure classifications and workflow and processes



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