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# EA-DE IT O-SAP MDG Team Lead

- **Company:** US Tech Solutions, Inc.
- **Location:** Brea, CA, United States
- **Experience:** Expert
- **Salary:** $147,680.0 - $156,000.0
- **Contract:** Temporary to permanent
- **Skills:** Data Cleansing, Data Governance, Data Migration, Human-Computer Interaction, SAP ERP, SAP (Applications), SAP Sales and Distribution, Service-Oriented Architecture, Web Services, SAP S/4HANA, SAP MDG, Data Management, Database Replication
- **Published:** June 14, 2026
- **Apply:** https://www.juju.com/job/00000000g7ydc7

## About the Role

2. Candidates require 8+ years of SAP experience, 2+ full-cycle implementations, and expertise in BRF+, Data Modelling, Workflow, and DRF., 1. **Experience:** 8+ years in SAP MDG, with at least 2 full-cycle implementations.Technical **Skills:** Deep knowledge of SAP ECC and/or S/4HANA, Data Modelling, BRF+, Workflow, and User Interface (FPM) modeling.

 2. **Functional Expertise** : Strong understanding of logistics (SD or MM) and Master Data Governance standards.

 3. **Tools:** Proficient in Data Migration (DIF/DEF), Data Replication (DRF), and Change Pointers.

Desired Qualifications

 1. SAP Certification in MDG is a plus.

 2. Strong communication and analytical skills for working with stakeholders.

## Description

1. An SAP MDG Techno-Functional Consultant designs, configures, and supports end-to-end Master Data Governance (MDG) solutions, specifically for domains like Material, Customer, or Vendor master data., 1. **Implementation:** Gather business requirements, translate them into functional design documents, and configure SAP MDG modules (Material, Customer, Vendor, Finance).

 2. **Technical Development:** Customize data modeling, UI modeling, and workflow configurations (BRF+).Data Integration: Design and implement data replication frameworks (DRF), including ALE, SOA, and web services.

 3. **Support & Maintenance:** Provide post-go-live, hypercare, and troubleshooting support for Master Data Governance processes.

 4. **Data Quality:** Implement data cleansing, validation, and standardization rules.


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