Location: Newark, DE, United States

Help shape how a global financial institution manages and protects one of its most critical assets: Data. Join a team that sets standards, strengthens controls, and enables confident decision-making across the Commercial & Investment Bank and work with senior stakeholders across business, technology, risk, controls, compliance, and legal to drive measurable governance outcomes. 

As a Vice President, Data Governance in the Commercial & Investment Bank Chief Data Office, you will play a senior delivery role in defining and implementing governance frameworks that strengthen data management, reduce risk, and improve transparency, partner across teams to establish data ownership, defines roles & responsibilities, and build operating models so that governance is practical and consistently applied, and translate complex topics into clear executive materials that support informed decisions and effective oversight. 

Job 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 and 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 and own project plans, milestones, dependencies, delivery risks, and stakeholder alignment for assigned cross-functional initiatives

 

Required qualifications, capabilities, and skills:

• 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 and 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 and analyse 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 and improve governance workflows through automation and analytics while maintaining auditability and appropriate oversight
• Produce high-quality executive materials and reporting using PowerPoint, Excel, and visualisation or workflow tools and 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

   

Preferred qualifications, capabilities, and skills: 

• Experience delivering data governance or data risk initiatives within an investment bank or other highly regulated financial institution and 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 and knowledge of AI governance, model risk, machine learning lifecycle controls, data ethics, and responsible innovation
• Exposure to data governance tooling such as data catalogues, lineage solutions, metadata management, data quality monitoring, workflow automation, or issue management platforms and 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

 

 

We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

Deliver high-impact enterprise data governance outcomes, influence senior stakeholders, and help embed responsible AI into controlled data practices.