SAP Master Data Governance
IBA InfoTech Inc.
Cary, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Cary, United States of America
Tech stack
Data as a Services
Data Governance
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
Requirements
- 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