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