The Master Data Governance Specialist / Data Governance & Quality Analyst is responsible for establishing enforcing and continuously improving data governance standards and data quality controls across enterprise systems (e.g. SAP S/4HANA and downstream platforms).
Goal of function:
Act as the liaison between business process owners functional consultants and the offshore/onshore technical team to ensure consistent application of data governance data quality and information governance practices across systems and tools.
Tasks*
1) Main tasks:
1. Data Governance Framework & Policies
- Support definition and implementation of:
- Data governance policies
- Data standards
- Naming conventions
- Data ownership and stewardship models
- Ensure data domains (e.g. Customer Vendor Material Finance) have:
- Defined owners
- Clear business rules
- Approval workflows
- Enforce governance processes for:
- Data creation
- Data change
- Data deactivation
- Support implementation and ongoing maintenance of information governance tooling (e.g. Collibra or similar platforms) including:
- Business glossaries and data definitions
- Data domain ownership and stewardship metadata
- Data policies standards and rule documentation
- Lineage classification and critical data element (CDE) attributes (where applicable)
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2. Data Quality Management
- Define and maintain data quality rules (accuracy completeness validity timeliness).
- Perform regular:
- Data profiling
- Data validation
- Reconciliation checks
- Identify:
- Data defects
- Root causes
- Process gaps
- Drive corrective and preventive actions with IT and business teams.
3. Monitoring & Reporting
- Develop and maintain data quality dashboards and KPIs.
- Publish and maintain governance and data quality metrics definitions and ownership information within information governance platforms for leadership visibility and audit readiness.
- Report on:
- Data quality trends
- Compliance with standards
- High-risk data issues
- Provide insights to leadership on:
- Data risks
- Improvement opportunities
4. Stakeholder Engagement
- Business Data Owners
- Data Stewards
- SAP COE / IT
- Analytics & Reporting teams
- Risk Audit and Compliance teams
- Act as a trusted advisor on data quality and governance.
- Facilitate governance forums and working groups.
- Educate stakeholders on:
- Data standards
- Roles and responsibilities
- Best practices
- Support and enable Data Owners and Data Stewards in using information governance tools by defining standards templates and usage guidelines.
5. Process & Control Integration
- Embed data governance into:
- Business processes
- System workflows
- Change management
- Ensure data controls align with:
- SOX
- GDPR
- Regulatory requirements
- Support audits and regulatory reviews related to data.
6. Continuous Improvement
- Identify opportunities to:
- Automate data quality checks
- Reduce manual data corrections
- Improve data lifecycle management
- Support:
- Master Data Governance (MDG) initiatives
- Data transformation programs
- S/4HANA or ERP modernization efforts
- Contribute to the evolution and adoption of information governance tooling capabilities in collaboration with Data Leads IT and tool vendors.
2) Stakeholder Engagement
- SAP Service Lead
- SAP Data Lead (future-state)
- SAP Functional Leads
- Business Process Owners
- GBS Operations teams
- Data Lead / Governance Lead
- AMS Partners
- System Integrators
- Data tool vendors (if applicable)
- Responsibilities:
Act as primary point of contact for data issues
- Communicate data risks and impacts to business
- Provide data quality and performance reporting
3) Miscellaneous tasks:
Tasks not performed regularly which are nevertheless a distinct part of the job or special tasks / project work.
Organization*
The function incumbent reports to:
Organizational unit:
GBS ITS -SAP COE Master Data Support Lead/ Service Lead
GBS ITS
Important internal interfaces:
Important external interfaces:
Please list cooperation with important departments sites subsidiaries etc.
Please list cooperation with important external companies agencies authorities etc.
Key Performance Indicators
- Service availability and reliability
- Service Quality & performance
Operational Excellence
Risk & compliance
Qualifications experience know-how and skills critical for success*
1) Required training and education:
Bachelors or Masters degree in Computer Science Information Technology Data Management or a related field.
2) Required professional experience (in years):
- 15 years in SAP Master data management specifically in S/4HANA implementation or support.
Proven experience in SAP domains: Material Master Business Partner (Customer/Vendor) or Finance
3) Important personal qualities:
- Strong stewardship mindset: Acts as a custodian of enterprise data ensuring accuracy consistency and adherence to governance standards.
- Analytical and detail-oriented: Demonstrates high rigor in defining validating and monitoring data quality rules metrics and controls.
- Structured and methodical: Applies disciplined approaches to data profiling issue analysis root cause identification and documentation.
- Influence without authority: Effectively guides data owners stewards and stakeholders toward governance compliance through expertise and collaboration.
- Clear and precise communicator: Translates complex data concepts rules and quality findings into clear actionable guidance for business and technical audiences.
- Policy- and control-conscious: Understands regulatory audit and compliance expectations and embeds them into governance practices and artifacts.
- Collaborative and facilitative: Works constructively across business IT and analytics teams to align definitions standards and quality outcomes.
- Tool- and process-oriented: Values structured use of governance and data quality tools and processes to ensure transparency and repeatability.
- Continuous improvement mindset: Proactively identifies opportunities to strengthen governance frameworks data quality controls and lifecycle management.
- Professional persistence: Demonstrates patience and consistency in enforcing standards and driving adoption in complex matrixed environments.
4) Other specialized knowledge:
c) IT skills
- Strong hands-on experience in SAP Master data Management configuration Business Partner (BP) setup and Data Replication Framework (DRF).
- Experience with SAP Information Steward SAP Data Services or similar data profiling tools.
- Knowledge of SAP modules (MM SD FICO) and how master data impacts end-to-end business with Business Rules Framework Plus (BRF) and workflow modelling.
- Hands-on experience with information governance or metadata management platforms (e.g. Collibra Alation Microsoft Purview or similar).
- Excellent analytical and problem-solving abilities with high attention to detail Effective communication skills for interacting with business stakeholders and technical teams Ability to manage multiple tasks tickets and priorities in a fast-paced AMS environment and experience documenting data policies functional specifications and data dictionaries.
d) Product knowledge
Core SAP & Technical Skills
- Strong expertise in SAP S/4HANA Run Operations
- Solid understanding of:
- SAP Finance (FI/CO)
- SAP Logistics (MM SD PP WM/EWM)
- SAP Basis & Technical Operations
- SAP Fiori Authorizations Interfaces
- Familiarity with SAP Solution Manager Focused Run ChaRM
- Understanding of SAP integrations (CPI PI/PO third-party systems)
- SAP Products
- SAP S/4HANA
- SAP BW/4HANA / SAC
- SAP Solution Manager / Focused Run
- SAP Fiori & UI5
- SAP CPI / PI-PO
- Supporting Platforms
- ITSM tools (ServiceNow preferred)
- Monitoring tools (SAP ALM APM AIOps)
- Cloud platforms (AWS / Azure / GCP SAP workloads)
5 ) Special personal requirements:
Please list requirements such as willingness to travel or work weekends or shifts etc.
- Travel upto 20% can be expected
- Ability to support CET timezone (End state will include US as well need to revisit this at a later time)