SAP Master Data Governance

IBA InfoTech Inc.

Cary, NC, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

ibainfotech.com

Tech stack

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

+4 more

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