Lead, Data Governance
Core
Build and run data governance and security programs for a lakehouse, analytics tools, and internal data products, setting standards for data classification, access, and protection.
Role type
Lead Data Governance (Individual Contributor)
Builds
Data governance policies, access controls, data quality standards, and compliance documentation for a global financial brokerage platform.
Domain
Financial Services / Data Governance & Security
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Data governance frameworks (DAMA-DMBOK, NIST), data classification, access control, entitlement reviews, data quality standards, metadata/lineage management, vendor risk assessment, regulatory compliance (GDPR, CCPA), audit support (SOC 2, ISO 27001), cross-border data flow management, AI/data guardrails definition.
Preferred skills
Fintech/brokerage background, Trino, Apache Ranger, dbt, Cube, Metabase, Airflow, Iceberg, AI/ML tool review, privacy program/vendor review, CIPT/CIPM/CISM/CISSP/CDMP/CRISC certifications, Japan/EU data residency experience, ERM exposure.
Technologies
Trino, Apache Ranger, Cube, Metabase, dbt, Airflow, Iceberg, GCP
Responsibilities
Build and maintain data governance policies, classification standards, and ownership models; Own data access governance for the lakehouse and analytics stack; Work with Data Engineering on technical controls like Ranger policies and schema restrictions; Set data quality standards; Keep data inventory, metadata, and lineage documentation current; Review data-related vendors and new use cases; Support sensitive and cross-border data requests; Prepare evidence for SOC 2, ISO 27001, and regulatory exams; Track data risks and control gaps; Define guardrails for AI and agentic use of corporate data.
Seniority
Senior, hands-on IC
