SAP Master Data Governance (MDG) Lead – Finance & Product Master

Summary The primary objective of the SAP Master Data Governance (MDG) Lead role is to establish effective governance and structures for product and finance master data. This role is crucial for maintaining data integrity and quality across various entities, ensuring alignment with the target data model. Responsibilities: • Assess current product master data, hierarchies, and finance master data quality across affiliates. • Design a unified product taxonomy, including product hierarchy and material classifications. • Define data ownership, stewardship, and the master data lifecycle with approval controls. • Set data quality rules and scorecards, establishing master data governance requirements. • Define master data readiness actions for CFIN and the roadmap for future EPM. Key Requirements: • Several SAP MDG implementations with a focus on Financials (MDG-F) and Material/Product (MDG-M). • Experience in designing product hierarchies and classifications in Oil & Gas or chemicals. • Understanding of hydrocarbon units of measure and conversions. • Hands-on experience in the downstream Oil & Gas sector within a multi-entity environment. Nice to Have: • Experience with MDG in a CFIN landscape. • Data quality tooling experience (e.g., SAP Information Steward). • Knowledge of data governance frameworks (e.g., DAMA-DMBOK). Other Details: • Location: Dharan, KSA • Seniority: Manager/Senior Manager equivalent • Experience: 10+ years in master data and 5+ years in SAP MDG • Contract Duration: 3 months, onsite Show more Show less

Key Requirements: Several SAP MDG implementations with a focus on Financials (MDG-F) and Material/Product (MDG-M). Experience in designing product hierarchies and classifications in Oil & Gas or chemicals. Understanding of hydrocarbon units of measure and conversions. Hands-on experience in the downstream Oil & Gas sector within a multi-entity environment.

Responsibilities: Assess current product master data, hierarchies, and finance master data quality across affiliates. Design a unified product taxonomy, including product hierarchy and material classifications. Define data ownership, stewardship, and the master data lifecycle with approval controls. Set data quality rules and scorecards, establishing master data governance requirements. Define master data readiness actions for CFIN and the roadmap for future EPM.