Description

You will lead enterprise data stewardship activities, ensuring data quality, consistency, and usability across business and technology teams.

You will define and maintain business and technical metadata, establish data ownership models, and develop end-to-end data lineage across source systems and downstream applications.

Responsibilities

• Analyze complex data issues to assess operational, compliance, and risk impacts, recommending solutions for improvement.
• Establish data quality rules, controls, and monitoring processes, facilitating root-cause analysis and remediation.
• Partner with data owners, engineers, and governance teams to resolve data-related issues and enforce standards.
• Support data cataloging and governance platform adoption, documenting critical data elements and business terms.
• Use SQL for data validation, profiling, and reconciliation, preparing governance reports for leadership.

Required Skills

• 7+ years of experience in data stewardship, data governance, data management, or business data analysis.
• Advanced experience with data lineage and metadata management.
• Intermediate experience with data quality management and business analysis within AI or analytics environments.
• Strong SQL skills for data analysis, validation, and issue resolution.
• Deep understanding of enterprise data governance frameworks and stewardship operating models.
• Experience defining business terms, data standards, critical data elements, and ownership models.
• Ability to communicate complex data issues to technical and non-technical stakeholders.

Preferred Skills

• Experience with data catalogs or governance tools such as Collibra, Alation, Informatica, or Atlan.
• Experience supporting AI, machine learning, analytics, or regulatory data initiatives.
• Familiarity with privacy, compliance, and data-risk management practices.

Key Skills

Education

Bachelor's degree