Vice President, Data Governance — Commercial & Investment Bank Chief Data Office
On-siteNewark, Delaware, United States
Job Summary
Lead delivery of governance frameworks that strengthen data management, reduce risk, and improve transparency across the Commercial & Investment Bank. Partner with senior leaders to establish clear data ownership, define roles and responsibilities, and build operating models so governance is practical and consistently applied. Translate complex data, risk, and technology topics into executive-ready materials for forums, audits, regulators, and client engagements. Support assurance activities by identifying risks, developing remediation plans, and tracking issues through closure. Embed responsible AI and automation into governance processes with appropriate human oversight. Align priorities, manage dependencies, and improve data literacy through training and guidance. Own project plans, milestones, and stakeholder alignment for assigned cross-functional initiatives.
Required Qualifications
- at least seven years of experience in financial services, financial technology, data governance, data risk, controls, or related disciplines
- complex cross-functional initiatives with clear ownership, sound judgment, and consistent follow-through
- strong knowledge of data governance concepts including data ownership, data quality, lineage, metadata, control design, and issue management
- Influence senior stakeholders and build alignment across matrixed teams without relying on direct authority
- Communicate clearly in writing and verbally, translating complex data, risk, and technology topics into executive-level messaging
- Analyze data and trends to assess risk, identify root causes, and recommend pragmatic actions
- Practice responsible use of AI-enabled productivity tools including privacy, confidentiality, prompt discipline, and human-in-the-loop controls
- Improve governance workflows through automation and analytics while maintaining auditability and appropriate oversight
- Produce high-quality executive materials and reporting using PowerPoint, Excel, and visualization or workflow tools
- Support effective project and change management including prioritization, dependency management, and timely escalation
- Model resilience, adaptability, attention to detail, and continuous learning in a rapidly evolving data and AI environment
Desired Qualifications
- Experience delivering data governance or data risk initiatives within an investment bank or other highly regulated financial institution
- Understanding of banking and markets businesses, transaction flows, and front-to-back operating models
- Familiarity with data privacy, data localization, records retention, and access management expectations
- Knowledge of AI governance, model risk, machine learning lifecycle controls, data ethics, and responsible innovation
- Exposure to data governance tooling such as data catalogs, lineage solutions, metadata management, data quality monitoring, workflow automation, or issue management platforms
- Proficiency with analytics and automation tools such as Tableau, Qlik, Alteryx, Python, or SQL
- Experience coaching teams on data literacy and controlled adoption of new technologies
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