Help shape how we manage, protect, and responsibly use data across a global financial institution. You will partner with senior leaders across business, technology, risk, controls, compliance, and legal to deliver measurable governance outcomes. This role offers high visibility, meaningful influence, and the chance to modernize governance through responsible, AI-enabled ways of working. Join a team that sets standards, strengthens controls, and enables confident decision-making across the Commercial & Investment Bank.

As a Vice President, Data Governance in the Commercial & Investment Bank Chief Data Office, you lead delivery of governance frameworks that strengthen data management, reduce risk, and improve transparency. You partner across teams to establish clear data ownership, define roles and responsibilities, and build operating models so governance is practical and consistently applied. You translate complex data, risk, and technology topics into clear materials that enable informed decisions and effective oversight. You support assurance activity, issue management, and remediation tracking so outcomes are controlled, auditable, and sustainable. You help embed responsible AI and automation into governance processes with appropriate human oversight.

Collaboration is central to your success: you will align priorities, manage dependencies, and deliver outcomes across matrixed stakeholders. You bring structure to ambiguous problems, apply risk-based judgment, and progress multiple initiatives in a fast-paced environment. You help improve data literacy and adoption of consistent governance practices through practical guidance and training. You identify opportunities to simplify workflows, strengthen documentation, and improve reporting so stakeholders can act quickly and confidently.

• Prepare executive-ready materials for governance forums, senior committees, audits, regulators, and client engagements
• Support implementation of Data Owner and In-Business Chief Data Officer accountabilities and responsibilities
• Develop management information reporting, dashboards, scorecards, and training metrics to track performance and risk
• Maintain governance documentation, operating models, standards, and controls to support consistent execution
• Draft concise decision papers and presentations for senior stakeholders and external reviewers
• Partner with business leaders to contribute to data strategy, shape priorities, and maintain strong delivery discipline
• Coordinate assurance activities by identifying risks, developing remediation plans, and tracking issues through closure
• Promote responsible data use, data literacy, and controlled adoption of AI-enabled working practices through training and guidance
• Own project plans, milestones, dependencies, delivery risks, and stakeholder alignment for assigned cross-functional initiatives

• Demonstrate at least seven years of experience in financial services, financial technology, data governance, data risk, controls, or related disciplines
• Deliver complex cross-functional initiatives with clear ownership, sound judgment, and consistent follow-through
• Apply 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

• 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