Configure and govern SAP MDG solutions across material, supplier, customer, and financial master data domains. Design approval workflows with Rule-Based Workflow and BRFplus, develop validation and derivation rules using ABAP, implement Data Replication Framework integrations, configure profiling and consolidation, extend master data models, and monitor data quality and governance performance.
This is a remote position.
SAP MDG (Master Data Governance) Specialist
Job Details
- Employment Type: Contract
- Work Mode: Remote
- Location: Offshore
- Total Experience Required: 5 to 8 years
- Relevant Experience Required: 4+ years of dedicated implementation and configuration experience within SAP MDG modules
- Mandatory Certification: SAP Certified Application Associate - Master Data Governance
Job Summary
We are seeking an experienced SAP MDG Specialist to design, configure, and govern our enterprise master data structures. The ideal candidate will establish robust data stewardship architectures, consolidate enterprise domain rules across critical business objects, and orchestrate automated change request workflows to ensure data integrity across the global ecosystem.
Key Responsibilities
- Configure core SAP MDG domain modules, including MDG-M (Material), MDG-S (Supplier), MDG-C (Customer), and MDG-F (Financials).
- Design and manage change request workflows, utilizing Rule-Based Workflow (RBW) engines and BRFplus (Business Rule Framework plus) to enforce multi-stage data approvals.
- Architect data validation and derivation rules, utilizing BRFplus and custom ABAP code snippets to automate field population and prevent data formatting errors.
- Implement Data Replication Frameworks (DRF), establishing point-to-point and middleware connections to distribute validated master data to SAP and non-SAP target systems.
- Configure data profiling and consolidation rules, defining search views, duplicate check thresholds, and data matching/merging policies.
- Build custom master data models, extending out-of-the-box data structures to incorporate custom attributes, custom entities, and bespoke business hierarchies.
- Collaborate with enterprise data governance teams, monitoring data latency, data quality dashboards, and workflow bottlenecks to improve overall data cleanliness.
Requirements
- 5 to 8 years of core enterprise data management or SAP functional consulting experience, with 4+ dedicated years actively designing and deploying solutions inside the SAP MDG module.
- Strong technical mastery of BRFplus configurations, Rule-Based Workflows, Floor Plan Manager (FPM) UI adjustments, and Data Replication Frameworks.
- Deep structural understanding of core SAP master data tables (e.g., MARA, KNA1, LFA1, SKA1), data modeling paradigms, and governance lifecycle management.
- Mandatory certification: SAP Certified Application Associate - Master Data Governance.
Preferred Qualifications
- Prior configuration background working with SAP MDG on S/4HANA environments.
- Experience integrating SAP MDG with third-party external data enrichment engines or Address Validation Web Services (e.g., SAP DQM).
Similar Jobs
Cloud • Information Technology • Security • Software
Lead India-based data engineering and machine learning teams, overseeing architecture, production MLOps, data pipelines, governance, modeling standards, and SaaS reliability. Partner with Finance, Sales, Product, Platform, Security, and executive stakeholders to deliver trusted analytics and production ML outcomes. Hire, mentor, and manage geographically distributed engineers, establish monitoring and rollback practices, and guide model development, evaluation, serving, and continuous improvement.
Top Skills:
C++ClaudeCopilotCursorDatabricksDbtFivetranGeminiGoJavaNetSuiteNotebooklmPythonPyTorchSalesforceScikit-LearnSnowflakeSparkSQLTensorFlow
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads SSD assembly equipment engineering to improve tool performance, availability, yield, quality, reliability, and cost. Establishes SPC and FD controls, preventive and predictive maintenance programs, spare inventory systems, productivity initiatives, equipment capability roadmaps, supplier collaboration, and benchmarking. Builds continuous improvement teams and develops personnel toward a Center of Excellence model. Requires an engineering degree, at least eight years of PCB assembly engineering experience, leadership, analytical problem-solving, and AI application capabilities.
Top Skills:
Artificial IntelligenceCpk Process Capability AnalysisFailure Detection (Fd) MethodologyPcb Assembly EquipmentPredictive MaintenancePreventive MaintenanceSsd Assembly EquipmentStatistical Process Control (Spc)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Administers and supports enterprise physical security technologies, including Lenel OnGuard access control and Milestone XProtect video management systems. Troubleshoots integrated hardware, software, database, network, CCTV, and visitor management issues; supports investigations through system data analysis. Collaborates with IT, Facilities, Engineering, Security Operations, vendors, and integrators on upgrades and modernization projects while developing documentation, standardizing systems, and improving lifecycle management and operational processes.
Top Skills:
Access Control SystemsActive DirectoryCctvGenerative AiLenel OnguardMilestone XprotectSQL ServerTcp/Ip NetworkingVideo AnalyticsVideo SurveillanceWindows Server
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.


.jpeg)