SAP MDG Consultant

Must Have

• Lead end-to-end SAP MDG implementations for Business Partner, Supplier master data domains.
•   Configure and maintain SAP MDG Consolidation processes using MDCIMG and maintain SPRO Configuration for all BP Setups.
•   Design and implement Change Request (CR) types, business activities, processing steps, and governance workflows.
•   Configure and support MSMP workflows, agent determination, escalation paths, and approval hierarchies.
•   Design and maintain BRF+ validation, derivation, and workflow routing rules.
•   Design MDG data modelling activities including entity types, relationships, attributes, and reuse area configurations.
•   Configure duplicate check, search applications, matching strategies, and data quality management processes.
•   Lead MDG consolidation initiatives including Match & Merge, key mapping, value mapping, and data harmonization.
•   Manage supplier master governance and synchronization between SAP MDG, SAP Ariba SLP, and SAP S/4HANA.
• Design and support Ariba-MDG supplier onboarding, registration, and approval processes.
•   Configure and manage Data Replication Framework (DRF), replication models, filters, and monitoring activities.
•   Implement inbound and outbound master data replication across SAP and non-SAP landscapes.
•   Configure SAP Gateway and OData services to enable MDG integrations and Fiori applications.
•   Support MDG Fiori app configuration, Launchpad roles, catalogs, spaces, and authorization assignments.
•   Integrate SAP MDG with third-party systems using SAP CPI, REST APIs, SOAP services, RFCs.
•   Collaborate with business stakeholders to gather requirements and translate them into scalable MDG solutions.
•   Prepare functional specifications, configuration documents, test scripts, and deployment plans.
•   Support SIT, UAT, cutover, go-live, hyper care, and production support activities.
•   Work closely with ABAP and integration teams to implement enhancements, BAdIs, workflows, and custom developments.
•   Ensure compliance with enterprise data governance standards, master data quality policies, and audit requirements.