SAP Master Data Governance; MDG) Architect C2C Irving, TX
Listed on 2026-09-03
-
IT/Tech
SAP Consultant, Data Engineering
Job title:
SAP Master Data Governance (MDG) Architect
Work Location:
Irving, TX – 75039 – Hybrid/Onsite
Minimum years of experience: 10+ Years
We are seeking an experienced SAP Master Data Governance (MDG) Architect to lead enterprise-wide master data governance initiatives across S/4
HANA transformation programs. The role is responsible for defining MDG architecture, governance frameworks, data quality standards, workflows, integrations, and global data management strategies across Customer, Supplier, Material, Finance, and Business Partner domains. The ideal candidate will possess deep expertise in SAP MDG, S/4
HANA, data governance, business process design, and stakeholder management, with proven experience delivering large-scale transformation programs.
- Master Data Governance Strategy
- Define and drive enterprise-wide Master Data Governance strategy and roadmap.
- Establish governance policies, standards, and operating models for master data management.
- Design centralized governance processes to improve data quality, compliance, and consistency.
- Collaborate with business stakeholders to define data ownership and stewardship models.
- Lead end-to-end SAP MDG solution architecture across Material, Customer, Supplier, Finance, and Business Partner domains.
- Design scalable MDG data models, governance workflows, validation rules, and approval processes.
- Conduct fit-gap workshops and propose best-practice solutions aligned with SAP standards.
- Ensure solution alignment with S/4
HANA Clean Core and SAP Business Transformation objectives.
- Design and implement:
- Change Request Types
- Governance Workflow
- BRF+ Rules
- Duplicate Checks
- Data Quality Frameworks
- Validation & Derivation Rules
- Define approval matrices and governance processes for master data lifecycle management.
- Architect integrations between SAP MDG and:
- SAP S/4
HANA - ECC
- Ariba
- Success Factors
- SAP BTP
- CPI/PI-PO
- Non-SAP Applications
- Design DRF-based replication frameworks, APIs, IDocs, SOA, and OData services.
- Guide integration architecture and middleware strategy.
- Define enterprise data quality strategy.
- Implement duplicate prevention, enrichment, and cleansing processes.
- Lead data migration and harmonization initiatives during S/4
HANA transformations. - Establish monitoring and governance controls for golden records.
- Lead SAP MDG work streams within large-scale transformation programs.
- Manage cross-functional teams including business, functional, technical, and integration teams.
- Provide architecture governance and design signoffs.
- Mentor MDG consultants and solution designers.
- Interface with business leadership, enterprise architects, data owners, and governance councils.
- Present solution roadmaps and architecture recommendations to executive stakeholders.
- Drive decision-making and governance approvals.
- 10-15+ years of SAP experience.
- Minimum 5+ years of SAP MDG implementation experience.
- Experience leading multiple SAP MDG implementation or transformation programs.
- Strong experience in global template design and multi-country rollouts.
- SAP MDG Expertise
- SAP MDG Material Master
- SAP MDG Business Partner / Customer / Supplier
- SAP MDG Financials
- MDG Data Modeling
- Change Request Framework
- Governance Workflows
- BRF+ Rules
- Data Quality Management (DQM)
- Key Mapping & Value Mapping
- Data Replication Framework (DRF)
- SAP S/4
HANA - SAP Fiori
- SAP BTP
- SAP CPI / PI-PO
- IDocs, APIs, OData Services
- SAP Datasphere (preferred)
- Data Migration & Integration Frameworks
- Strong solution architecture experience.
- Executive stakeholder management.
- Team leadership and mentoring capabilities.
- Excellent communication and presentation skills.
- Strong analytical and problem-solving abilities.
- Bachelor’s or master’s degree in engineering, Information Technology, or related field.
- SAP MDG Certification.
- SAP S/4
HANA Certification. - Experience with SAP Activate methodology.
- Knowledge of enterprise Data Governance and MDM best practices.
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