SVP, Data Governance Lead
Core
Lead enterprise data governance, data quality, metadata management, and data risk management to ensure data is trusted, well-documented, and fit for business, analytics, and AI use.
Role type
Senior Vice President, Data Governance Lead
Builds
Enterprise data governance programs, trusted data sources, and governance strategies for critical business use cases.
Domain
Financial services / Data Governance
Deliverable
production ML models
Required skills
Data governance frameworks, data quality, metadata management, data lineage, data ownership, enterprise data management, risk management, stakeholder management, team leadership.
Preferred skills
Financial services industry experience, industry governance or risk frameworks, enterprise data operating models, large-scale data environments, analytics or AI-enabled use cases.
Technologies
AI Support
Responsibilities
Lead enterprise data governance, data quality, metadata management, and data risk management activities; Partner with business and technology stakeholders to implement governance strategies, standards, and best practices; Oversee the identification, onboarding, and maintenance of trusted data sources for critical business use cases; Ensure key datasets have clear ownership, business definitions, lineage, and quality controls documented; Improve data quality controls, measurement, issue remediation, and reporting; Identify, assess, escalate, and help mitigate data-related risks and governance issues; Lead stakeholder engagement, governance forums, and cross-functional communications.
Seniority
Senior Vice President, strategic leadership & team management