
Enterprise Data Steward
7 days ago
Seeking a seasoned professional to champion enterprise-level data governance initiatives across structured and unstructured data domains.
Job OverviewAs part of a newly formed centralization group, we require an expert in best practices for data stewardship to ensure safeguard measures are in place. This long-term role will have strategic impact across global teams, requiring collaboration with stakeholders across business lines and enabling areas.
Key responsibilities include:
- Providing expertise in data governance and quality, ensuring appropriate safeguards are in place.
- Taking ownership of specific data domains, processes, and procedures.
- Creating/editing data requirements, data models, data dictionaries, process maps, and data lineage/mapping.
- Utilizing a standardized approach to capture and document metadata across data domains.
- Communicating with stakeholders to gather and address data requirements and feedback.
- Developing valuation and quality measures and sharing them across business units.
- Managing metadata and data quality processes using tools like Informatica, Collibra, SAP, and Microsoft 365.
- Tagging and classifying unstructured data (e.g., PII) across platforms such as SharePoint, Teams, and internal ERP systems.
- Supporting compliance with ISO standards, GDPR, SOX, and internal AI data controls.
- Managing assets within DTUS (Data Technology Unified Services) and supporting lifecycle governance for SuccessFactors/HXM data.
- Driving continuous improvement efforts, monitoring results, and conducting benchmarking activities.
- Ensuring adherence to standards, data quality, problem management, and change management.
- Partnering with the Project Management Office to integrate governance into project lifecycles, including data migration.
- Leading change management and training related to the rollout and ongoing activities of the Data Governance program.
- 3–5 years of experience in data management with demonstrated ability to analyze, interpret, and explain systems and approaches for data to enable business decisions.
- Mastery of relational database theories and schemas.
- Ability to influence and engage stakeholders; strong communication skills.
- Ability to build trust and credibility with peers and leaders.
- Comfortable working in dynamic, evolving environments.
- 'Can do' attitude – willingness to accept challenges and solve problems both strategically and tactically.
- Excellent collaboration skills with flexibility and diplomacy while maintaining adherence to principles.
- Consistent, high-quality customer-focused orientation, including providing clear, accurate information.
- Relevant Bachelor's Degree in Business, Computer Science, Engineering, Information Technology, Finance, Technical, Data Science, or Statistics.
- Additional qualifications based on client feedback:
- Experience with Informatica, SAP, Collibra, and Microsoft 365 platforms.
- Familiarity with data privacy regulations including PII handling, GDPR, and SOX.
- Familiarity with ISO standards and AI-related data governance controls.
- Experience managing unstructured data and supporting global teams (India and LATAM).
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