Job Description
About NIIT
NIIT is a leading Skills and Talent Development Corporation that is building a manpower pool for global industry requirements. The company, which was set up in 1981 to help the nascent IT industry overcome its human resource challenges, today ranks among the world’s leading training companies owing to its vast, yet comprehensive array of talent development programs. With a footprint across 40 nations, NIIT offers training and development solutions to Individuals, Enterprises, and Institutions.
Job Profile: SAP S/4 HANA Master Data Governance (MDG) Trainer
Location: Remote / Hybrid (US Time Zones Preferred)
Engagement Type: Contract / Part-Time / Full-Time (Flexible)
Duration: 12 Months (extendable)
Role Summary
We are seeking an experienced SAP S/4 HANA Master Data Governance (MDG) Trainer to design and deliver hands-on training for business users, functional consultants, and technical teams. The trainer will be responsible for enabling learners to effectively govern, manage, validate, and replicate master data across enterprise landscapes using SAP S/4 HANA and MDG.
This role will support both implementation readiness and long-term data governance adoption .
Key Responsibilities
Training Delivery Deliver end-user, power-user, and administrator training for: SAP MDG for Customer, Vendor, Material, and Finance master data
SAP S/4 HANA data governance workflows
Tailor training to:
Business users
Data stewards
Functional consultants
Technical teams System & Functional Coverage
Teach and demonstrate:
MDG Data Models and Customization
BRF+ and Rule Framework
Change Request Management
Duplicate Check & Data Validation
Workflow & Approval Processes
MDG Replication Framework (DRF)
Integration with ECC, S/4 HANA, and external systems Stakeholder & Program Support
Support:
User Acceptance Testing (UAT) readiness
Post-go-live hypercare and adoption
Provide:
Office hours
Troubleshooting sessions
Performance coaching for data stewards
Required Qualifications 8+ years of SAP experience with 3+ years in SAP MDG Strong hands-on experience with:
SAP S/4 HANA
SAP MDG Configuration and Customization
Proven experience training:
Business Users
Data Stewards
SAP Functional & Technical Consultants
Deep understanding of:
Data Governance frameworks
Master Data domains
Workflow and data quality enforcement
Excellent communication and facilitation skills
Technical Skills
SAP MDG Configuration
BRF+ Rules Framework
Data Replication Framework (DRF)
Workflow Configuration
Data Quality & Validation Frameworks
SAP Fiori for MDG
S/4 HANA Data Model & Integration
Preferred Qualifications
SAP MDG Certification
SAP S/4 HANA Certification
Prior experience with:
SAP MDM / SAP Data Services
Enterprise Data Governance Programs
Experience working with:
Manufacturing, Retail, Supply Chain, or Finance data models Experience with global, multi-location implementations
NIIT is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
NIIT is a leading Skills and Talent Development Corporation that is building a manpower pool for global industry requirements. The company, which was set up in 1981 to help the nascent IT industry overcome its human resource challenges, today ranks among the world’s leading training companies owing to its vast, yet comprehensive array of talent development programs. With a footprint across 40 nations, NIIT offers training and development solutions to Individuals, Enterprises, and Institutions.
Job Profile: SAP S/4 HANA Master Data Governance (MDG) Trainer
Location: Remote / Hybrid (US Time Zones Preferred)
Engagement Type: Contract / Part-Time / Full-Time (Flexible)
Duration: 12 Months (extendable)
Role Summary
We are seeking an experienced SAP S/4 HANA Master Data Governance (MDG) Trainer to design and deliver hands-on training for business users, functional consultants, and technical teams. The trainer will be responsible for enabling learners to effectively govern, manage, validate, and replicate master data across enterprise landscapes using SAP S/4 HANA and MDG.
This role will support both implementation readiness and long-term data governance adoption .
Key Responsibilities
Training Delivery Deliver end-user, power-user, and administrator training for: SAP MDG for Customer, Vendor, Material, and Finance master data
SAP S/4 HANA data governance workflows
Tailor training to:
Business users
Data stewards
Functional consultants
Technical teams System & Functional Coverage
Teach and demonstrate:
MDG Data Models and Customization
BRF+ and Rule Framework
Change Request Management
Duplicate Check & Data Validation
Workflow & Approval Processes
MDG Replication Framework (DRF)
Integration with ECC, S/4 HANA, and external systems Stakeholder & Program Support
Support:
User Acceptance Testing (UAT) readiness
Post-go-live hypercare and adoption
Provide:
Office hours
Troubleshooting sessions
Performance coaching for data stewards
Required Qualifications 8+ years of SAP experience with 3+ years in SAP MDG Strong hands-on experience with:
SAP S/4 HANA
SAP MDG Configuration and Customization
Proven experience training:
Business Users
Data Stewards
SAP Functional & Technical Consultants
Deep understanding of:
Data Governance frameworks
Master Data domains
Workflow and data quality enforcement
Excellent communication and facilitation skills
Technical Skills
SAP MDG Configuration
BRF+ Rules Framework
Data Replication Framework (DRF)
Workflow Configuration
Data Quality & Validation Frameworks
SAP Fiori for MDG
S/4 HANA Data Model & Integration
Preferred Qualifications
SAP MDG Certification
SAP S/4 HANA Certification
Prior experience with:
SAP MDM / SAP Data Services
Enterprise Data Governance Programs
Experience working with:
Manufacturing, Retail, Supply Chain, or Finance data models Experience with global, multi-location implementations
NIIT is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
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