SAP Master Data Governance Lead-VS9925

1 day ago


Hyderabad, Telangana, India Enterprise Minds, Inc Full time ₹ 8,00,000 - ₹ 20,00,000 per year

Job Title
: SAP Master Data Governance (MDG) Lead

Department
: Enterprise Data Management / IT – SAP Center of Excellence

Reports To
: Head of SAP Solutions / Chief Data Officer (CDO)

Location
: Hyderabad

Experience
: 12+ years

Role Summary
The SAP MDG Lead will be responsible for leading the design, implementation, and governance of master data across SAP systems. This role ensures high-quality, consistent, and reliable data aligned with business and regulatory requirements. The MDG Lead will play a pivotal role in defining data standards, establishing governance processes, and driving SAP MDG best practices across the enterprise.

Key Responsibilities
Lead the SAP MDG strategy, implementation, and operational governance.

Define and enforce master data policies, standards, and procedures across domains (Customer, Vendor, Material, Finance, etc.).

Manage data governance frameworks and drive data quality initiatives within SAP MDG.

Collaborate with business units to define master data requirements and ownership models.

Configure and maintain SAP MDG components and data models.

Oversee the integration of SAP MDG with other SAP and non-SAP systems.

Monitor and manage workflows, validations, and approvals in the MDG system.

Train data stewards, users, and stakeholders on MDG usage and best practices.

Support audits and compliance initiatives by ensuring regulatory alignment (e.g., SOX, GDPR).

Continuously improve master data processes and tools based on business needs.

Required Qualifications & Skills
Bachelor's/Master's degree in Computer Science, Information Systems, or related field.

12+ years of experience in SAP with 5+ years in SAP MDG implementation and support.

In-depth understanding of SAP ECC/S4HANA and MDG architecture, data domains, and data models.

Strong experience with data quality, data lifecycle, validation rules, and approval workflows.

Hands-on configuration experience with SAP MDG (Data Models, UI Modeling, BRF+, DRF, and NWBC/Fiori).

Solid understanding of master data integration across business processes and modules (MM, SD, FI, etc.).

Experience with SAP Information Steward, Data Services, or other data governance tools is a plus.

Soft Skills
Excellent communication and cross-functional collaboration skills

Strong analytical and problem-solving ability

Leadership and stakeholder management capabilities

Detail-oriented with a focus on data accuracy and compliance

Change management and training capabilities to drive adoption

Preferred Qualifications
SAP MDG Certification

Experience with S/4HANA MDG

Familiarity with Agile/DevOps methodologies

Knowledge of data governance frameworks like DAMA-DMBOK

Experience in regulated industries such as Pharma, BFSI, or Manufacturing

Key Relationships
Business Process Owners and Functional Leads

SAP Technical and Functional Consultants

Data Stewards and Master Data Analysts

Compliance, Audit, and Risk Management Teams

Enterprise Architects and Integration Teams

Role Dimensions
Strategic ownership of enterprise master data governance framework

Operational oversight of MDG solution and associated business processes

Leadership of cross-functional data governance initiatives

Advisory and implementation responsibility for SAP MDG rollouts across geographies

Success Measures (KPIs)
% improvement in master data quality metrics (accuracy, completeness, timeliness)

% reduction in data duplication or inconsistencies

Time to onboard and activate new master data entries

Adoption rate of SAP MDG tools across business units

Compliance rate with internal and external data standards

Competency Framework Alignment
Technical Expertise
– Deep SAP MDG and data governance knowledge

Leadership
– Lead cross-functional teams and governance initiatives

Strategic Thinking
– Align master data strategies with business goals

Execution Focus
– Deliver scalable and compliant MDG solutions

Collaboration
– Build consensus and drive data ownership across functions



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