SAP MDG Consultant

2 days ago

Bengaluru, Karnataka, India Creeno Solutions Pvt ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description :


We are looking for an experienced SAP MDG (Master Data Governance) Consultant to join our team. The ideal candidate will be responsible for the design, implementation, and support of SAP MDG solutions across various domains such as Material, Vendor, Customer, and Finance. The role involves working closely with business stakeholders and technical teams to ensure accurate, consistent, and compliant master data management processes.

Key Responsibilities :


- Lead end-to-end implementation and support of SAP MDG solutions for different data domains (Material, Vendor, Customer, Finance, etc.).

- Collaborate with business users to gather requirements and design MDG data models, governance workflows, and UI configurations.

- Configure and customize MDG framework, including data replication, validation, and change request processes.

- Integrate SAP MDG with SAP ECC, S/4HANA, and other external systems using ALE/IDocs, SOA, and APIs.

- Ensure data quality, validation rules, and compliance standards are maintained across systems.

- Work on BRF+ rules, Fiori-based MDG UI enhancements, and data quality management (DQM) configurations.

- Support data migration, conversion, and cleansing activities during project phases.

- Troubleshoot and resolve issues related to MDG workflows, data models, and replication mechanisms.

- Provide training, documentation, and knowledge transfer to business and technical teams.

Required Skills :

- Strong hands-on experience in SAP MDG implementation and support.

- Proficiency in data modeling, process modeling, UI modeling, and rule-based workflows.

- In-depth knowledge of MDG integration with SAP and non-SAP systems.

- Experience in data replication (DRF), ALE/IDOC configuration, and SOA services.

- Understanding of BRF+, FPM (Floorplan Manager), and SAP Fiori for MDG applications.

- Strong knowledge of master data governance concepts and data management best practices.

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