Data Governance Team - CIB Chief Data Office VP

JPMorganChase • Newark, NJ

2d

About The Position

The Vice President, Data Governance in the Commercial & Investment Bank Chief Data Office plays a senior delivery role in defining and implementing governance frameworks that strengthen data management, reduce risk, and improve transparency. The role partners with teams across business, technology, risk, controls, compliance, and legal to establish data ownership, define roles and responsibilities, and build practical operating models that are consistently applied. It also translates complex topics into clear executive materials that support informed decisions and effective oversight.

The position supports governance forums, senior committees, audits, regulators, and client engagements; develops management information and performance reporting; and maintains governance documentation, standards, and controls. It contributes to data strategy, coordinates assurance and remediation activities, promotes responsible data use and AI-enabled practices, and manages assigned cross-functional initiatives. The posting states that employment-based immigration sponsorship and related assistance are not offered.

Requirements

• At least seven years of experience in financial services, financial technology, data governance, data risk, controls, or related disciplines.
• Ability to deliver 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.
• Ability to influence senior stakeholders and build alignment across matrixed teams without relying on direct authority.
• Clear written and verbal communication skills, including translating complex data, risk, and technology topics into executive-level messaging.
• Ability to analyze data and trends to assess risk, identify root causes, and recommend pragmatic actions.
• Responsible use of AI-enabled productivity tools, including privacy, confidentiality, prompt discipline, and human-in-the-loop controls.
• Ability to improve governance workflows through automation and analytics while maintaining auditability and appropriate oversight.
• Ability to produce high-quality executive materials and reporting using PowerPoint, Excel, and visualization or workflow tools.
• Ability to support project and change management, including prioritization, dependency management, and timely escalation.
• Resilience, adaptability, attention to detail, and continuous learning in a rapidly evolving data and AI environment.

Nice To Haves

• 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 localisation, 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 tools such as data catalogues, 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.

Responsibilities

• 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 role 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed