Description

Key Responsibilities

• Lead enterprise data stewardship activities across business and technology teams.
• Analyze complex data issues and assess their operational, business, compliance, and risk impacts.
• Recommend solutions to improve data quality, consistency, availability, and usability.
• Define and maintain business metadata, technical metadata, data definitions, and data ownership information.
• Develop and maintain end-to-end data lineage across source systems, data platforms, reports, and downstream applications.
• Partner with data owners, data custodians, engineers, analysts, and governance teams to resolve data-related issues.
• Support the development and enforcement of data governance policies, standards, and procedures.
• Establish data quality rules, controls, metrics, and monitoring processes.
• Facilitate root-cause analysis and remediation of data quality issues.
• Document critical data elements, business terms, data classifications, and ownership responsibilities.
• Promote data governance and stewardship best practices across the enterprise.
• Support data cataloging, metadata repositories, and governance platform adoption.
• Use SQL to perform data validation, profiling, reconciliation, and issue analysis.
• Prepare governance reports, dashboards, and documentation for leadership and stakeholders.

Required Qualifications

• 7+ years of experience in data stewardship, data governance, data management, or business data analysis.
• Advanced experience with data lineage.
• Advanced experience with metadata management.
• Intermediate experience with data quality management.
• Intermediate business analysis experience within AI, analytics, or data environments.
• Intermediate SQL skills for data analysis and validation.
• Strong 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 both technical and non-technical stakeholders.
• Strong analytical, documentation, facilitation, and problem-solving skills.

Preferred Qualifications

• Experience working with data catalogs or governance tools such as Collibra, Alation, Informatica, Atlan, or similar platforms.
• Experience supporting AI, machine learning, analytics, or regulatory data initiatives.
• Familiarity with privacy, compliance, and data-risk management practices.
• Experience operating in a large enterprise environment

Key Skills

Education

Bachelor's degree