Lead Analyst Data Governance

Empower helps customers achieve financial freedom through flexible career paths and a focus on purpose, well-being, and inclusion. The Lead Analyst will execute and operationalize enterprise data governance and knowledge management frameworks, partnering with business, technology, risk, and legal stakeholders to improve data quality, support regulatory compliance, and maintain audit-ready controls.

Responsibilities:

• Execute and operationalize enterprise data governance and knowledge management frameworks aligned with established policies, standards, and industry models, including DCAM and DAMA
• Support data stewardship activities, including onboarding, training, and coordination of data owners and stewards across business domains
• Maintain and enhance metadata, catalog, and lineage capabilities, including Collibra, business glossaries, and critical data element lifecycle management
• Monitor and report on data quality metrics, service-level agreements, and observability processes
• Coordinate data quality issue identification, escalation, and remediation tracking
• Assist in implementing governance controls within data product lifecycles, including checkpoints for data quality, privacy, and lineage
• Support regulatory compliance efforts related to CCPA, GLBA, ERISA, and SEC and FINRA requirements by maintaining documentation, evidence, and audit artifacts
• Contribute to the governance of unstructured data and knowledge assets, including taxonomy, ontology, and knowledge classification frameworks
• Partner with Risk, Legal, and Technology teams to support data usage controls, access governance, and responsible AI and GenAI initiatives
• Prepare governance reporting, scorecards, and KPI dashboards to track adoption, data quality, and risk reduction

Requirements:

• Applicants must be authorized to work for any employer in the U.S
• Bachelor's degree or equivalent experience
• 7 to 10 years of experience in data governance, data management, or related disciplines
• Working knowledge of regulatory frameworks, including CCPA, GLBA, ERISA, and SEC and FINRA records requirements
• Experience with metadata management, data cataloging, and lineage tools, including Collibra or similar platforms
• Familiarity with data quality frameworks, observability tools, and issue management processes
• Understanding of knowledge management concepts, including taxonomy and unstructured data governance
• Experience implementing governance policies, standards, and controls in operational environments
• Ability to analyze data, produce governance metrics, and develop scorecards and dashboards
• Proficiency with SQL and familiarity with data platforms such as Snowflake, including governance features such as tagging and access controls
• Strong communication and stakeholder management skills, with the ability to influence cross-functional teams
• Experience supporting enterprise data governance programs in regulated industries, preferably financial services
• Exposure to AI governance, model risk management, or responsible AI practices