
Data Steward
3 days ago
Detailed JD:
Enterprise Data Steward (Long-Term Role)
Overview
We are seeking a Data Steward to support enterprise-level data governance initiatives as part of a newly formed group focused on centralizing governance activities across structured and unstructured data domains. This includes Microsoft 365, SharePoint, Teams, and internal ERP systems.
This is a long-term role with strategic impact across global teams, including India and LATAM.
The candidate will report to the US-ITS Data Strategy & Governance Officer (Office of the CDO) and collaborate with stakeholders across business lines and enabling areas.
Key Responsibilities
Work as subject matter expert in best practices for data governance and quality, ensuring appropriate safeguards are in place.
Demonstrate active ownership of specific data domains, processes, and procedures.
Create/edit data requirements, data models, data dictionaries, process maps, and data lineage/mapping.
Utilize a standardized approach to capture and document metadata across data domains.
Communicate with stakeholders to gather and address data requirements and feedback.
Develop valuation and quality measures and share them across business units.
Manage metadata and data quality processes using tools like Informatica, Collibra, SAP, and Microsoft 365.
Tag and classify unstructured data (e.g., PII) across platforms such as SharePoint, Teams, and internal ERP systems.
Support compliance with ISO standards, GDPR, SOX, and internal AI data controls.
Manage assets within DTUS (Data Technology Unified Services) and support lifecycle governance for SuccessFactors/HXM data.
Drive continuous improvement efforts, monitor results, and conduct benchmarking activities.
Ensure adherence to standards, data quality, problem management, and change management.
Partner with the Project Management Office to integrate governance into project lifecycles, including data migration.
Lead change management and training related to the rollout and ongoing activities of the Data Governance program.
Qualifications
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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