Overview
Hybrid
$80 - $85
Full Time
Skills
SAP
master data governance
MDG
S/4 HANA
Job Details
Job Description -
Job Title: SAP S/4HANA Master Data Consultant - Hybrid (30% travel to Minneapolis, MN)
Location: Hybrid role with occasional travel (~30%) to Minneapolis, MN.
Role: Design, implement, and maintain master data governance and processes across the SAP S/4HANA landscape to ensure high-quality, consistent, and reliable master data for materials, customers, vendors, business partners, and finance.
15+ years of experience required.
Key Responsibilities:
- Implementation & Configuration
- Lead end-to-end design, configuration, and deployment of master data processes in SAP S/4HANA.
 - Configure and maintain Business Partner (BP), Material Master, Customer Master, Vendor Master, Pricing, and Plant/Storage-related master data.
 - Implement and support MDG (Master Data Governance) or other master data management tools integrated with S/4HANA.
 - Ensure accurate setup of number ranges, field controls, and custom attributes.
 - Manage data migration activities using tools such as LTMC, LTMOM, BODS, or SAP Data Services.
 
 - Data Governance & Quality
- Define and enforce master data standards, validation rules, and governance policies.
 - Collaborate with business users and IT teams to maintain data integrity and consistency across modules (FI, CO, MM, SD, PP, QM, EWM).
 - Perform data audits, cleansing, and harmonization between legacy and SAP systems.
 - Design and execute data validation and reconciliation strategies during migrations or cutovers.
 
 
Working Model & Location:
Required / Preferred Skills & Technologies:
- SAP S/4HANA master data configuration and governance
 - SAP MDG and other master data management tools
 - Business Partner (BP), Material/Customer/Vendor master data setup
 - Pricing and plant/storage master data
 - Number ranges, field controls, and custom attributes configuration
 - Data migration tools: LTMC, LTMOM, BODS, SAP Data Services
 - Experience across SAP modules: FI, CO, MM, SD, PP, QM, EWM
 - Data validation, reconciliation, cleansing, and harmonization
 
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