SAP Master Data Governance Lead

Key Responsibilities: Business Engagement, Leadership & Governance Enforcement. Challenge & Influence Business Leadership: Drive buy-in across business units; proactively challenge business teams on legacy data habits, non-standard taxonomies, and uncoordinated master data creation. Establish Governance Frameworks: Define, implement, and enforce enterprise-wide master data policies, standards, data ownership matrices, and operating models across all business functions. Chair Data Governance Council: Lead cross-functional alignment forums, resolve domain ownership disputes, and secure executive sign-off on master data definitions and taxonomy decisions. Drive Change & Business Accountability: Foster a strong data quality culture; hold business stakeholders accountable for maintaining master data integrity throughout the migration and post-go-live operating state. Master Data Taxonomy & Architecture Strategy: Architect Enterprise Taxonomy: Design and maintain clear, standardized data taxonomies, hierarchies, and metadata structures across core SAP domains (Material/Product, Business Partner/Vendor/Customer, Financials/COA, Assets). Align Business & Technical Data Models: Translate business processes into structured SAP S/4HANA data requirements, ensuring seamless transition from legacy Oracle EBS data structures. Migration Execution & Partner Oversight: Manage Migration Workstreams: Lead data cleansing, enrichment, mapping, and validation activities in close collaboration with system integrators and partners using migration platforms (e.g., ChainSys Data Management Suite). Data Quality KPI Oversight: Define, monitor, and report critical Data Quality metrics, readiness scorecards, and audit trails to executive management throughout the S/4HANA RISE journey.