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# Data Steward

- **Company:** TIAA
- **Location:** Frisco, TX, United States
- **Experience:** Expert
- **Salary:** $116,000.0 - $143,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Engineering, Data Governance, Data Visualization, Metadata Repositories, Data Analytics, Data Management
- **Published:** October 16, 2026
- **Apply:** https://www.financialjobbank.com/job.asp?id=3439259021&tx=KP5555FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's Degree or Equivalent Experience Required, * 5+ years of Data Analysis/Analytics experience

Preferred Qualifications:

 * 7+ years of Data Analysis/Analytics experience in a financial services setting

Related Skills

Business Acumen, Business Analysis, Business Process Understanding, Change Management, Collaboration, Communication, Continuous Improvement Mindset, Data Analysis, Data-Driven Business Intelligence, Data Management, Data Visualization, Executive Presence, Influence, Project Management, Story Telling

## Description

* Ensures that data within the domain (inclusive of internal systems of record, 3rd party external data sources, analytic sources, and master data platforms) meets business requirements for both operational and analytical use cases of that data.
 * Investigates and drives consistent metric definitions across the enterprise to develop one consistent view of the customer, user experience, and business performance.
 * Partners with domain stakeholders and subject matter experts to ensure that all data within the domain has complete business metadata captured and maintained in the appropriate metadata repository or data catalog.
 * Partners with IT and data engineering partners to ensure technical metadata and lineage metadata is captured and maintained in the appropriate metadata repository or data catalog.
 * Ensures that data within the domain meets business requirements and data policy and data standards for data quality and ensures that data quality requirements are included in product/system development process, both at the source and throughout the data supply chain (acquire/curate/publish/consume), in partnership with IT and data engineering partners.
 * Ensures data is compliant with enterprise policies, regulatory requirements and legal/contractual commitments and partners with policy owners and risk/compliance teams to ensure compliance requirements are understood and participates in any risk/compliance reviews, audits and exams.
 * Oversees data issue management processes to ensure that data issues are captured, tracked and resolved in a timely manner, with appropriate escalation and status reporting as needed.
 * Provides training and education on appropriate data usage to partners within the lines of business