Data Governance Analyst II (Hybrid)
Core
Supports and advances enterprise data governance by ensuring data accuracy, quality, and appropriate use across the bank's data assets.
Role type
Mid-level data governance analyst
Builds
Enterprise data governance program, data quality monitoring systems, metadata repositories, and AI-assisted governance workflows
Domain
Financial services / Data governance & management
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Data governance principles, data quality management, metadata management, regulatory frameworks (DCAM, FFIEC, NIST), data catalog management, data lineage documentation, audit preparation, cross-functional collaboration
Preferred skills
Data automation, AI/ML concepts, AI-assisted analytics tools, data platform modernization, self-service analytics enablement
Technologies
Atlan, Snowflake, dbt
Responsibilities
Implement and enhance data governance policies and standards; execute data quality monitoring and remediation; maintain data catalogs and metadata repositories; partner with data owners to define data elements and lineage; monitor governance metrics and support regulatory audits; contribute to enterprise initiatives like platform modernization and AI-driven solutions
Seniority
Mid-level, increasing independence
