Data Governance Augment

Data Governance Framework & Strategy Define and support the implementation of a global data governance structure (roles, responsibilities, escalation paths). Align data governance framework with business processes and S/4HANA global template. Establish data ownership and stewardship across markets and business units. Develop governance policies and procedures for master data management. Master Data Standards & Policies Define and harmonize global standards for core master data objects (e.g., Material, BP-Customer, BP-Vendor, GL Account, Profit Center, Cost Center). Document data definitions, attributes, dependencies, and usage. Enforce naming conventions, formats, mandatory fields, and validation criteria. Ensure compliance with internal and regulatory data policies. Data Quality Management Conduct data profiling to assess current data quality and establish baseline metrics. Define and implement data quality rules (e.g., completeness, consistency, uniqueness). Monitor and report data quality metrics throughout the lifecycle. Support data cleansing activities and root cause analysis of data issues. Master Data Lifecycle Governance Define lifecycle processes for master data (creation, change, deactivation). Design approval workflows and audit trails. Ensure alignment with compliance and regulatory requirements. Data Mapping, Transformation & Migration Collaborate with functional leads and migration teams to define source-to-target mapping rules. Validate transformation logic and maintain mapping documents and lookup tables. Participate in mock migration cycles and validate data integrity pre- and post-migration. Support reconciliation processes to ensure accuracy of migrated data. Stakeholder Engagement, Communication & Training Engage stakeholders to align on data standards and governance processes. Act as liaison between business and IT for data governance-related issues. Conduct workshops, training sessions, and onboarding for data stewards and owners. Develop communication plans to promote data governance awareness. Address cultural and organizational challenges in adopting global standards. Educational Background Bachelor’s degree in Information Management, Statistics Computer Science, Business Administration, or a related field (or equivalent experience). Advanced degree or certification in Data Governance, Data Management, or related disciplines is a plus. Technical Skills Strong understanding of master data domains (e.g., Material, Customer, Vendor, GL Account). Proficiency in data profiling, cleansing, and quality assessment tools. Familiarity with ERP systems, especially SAP ECC and S/4HANA. Knowledge of data migration processes and tools. Experience with data mapping, transformation logic, and reconciliation techniques. Governance & Compliance Knowledge Deep understanding of data governance frameworks, policies, and procedures. Knowledge of regulatory requirements related to data (e.g., GDPR, SOX). Ability to define and enforce data standards and business rules. Analytical & Problem-Solving Skills Strong analytical skills to identify data issues and root causes. Ability to interpret data quality metrics and drive improvement initiatives. Experience in lifecycle management of master data. Communication & Collaboration Excellent communication and stakeholder engagement skills. Ability to conduct workshops, training sessions, and onboarding programs. Experience in cross-functional collaboration between business and IT teams. Project & Change Management Experience in supporting change management and communication plans. Ability to manage cultural and organizational challenges in global environments. Familiarity with project management methodologies and tools. Personal Attributes Detail-oriented with a strong sense of accountability. Proactive and adaptable in dynamic project environments. Strong organizational and documentation skills. #J-18808-Ljbffr