Data Governance Team - CIB Chief Data Office VP

Job responsibilities

• Prepare executive-ready materials for governance forums, senior committees,

accountabilities and responsibilities

• Develop management information reporting, dashboards, scorecards, and

• 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

• 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).

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

• Support implementation of Data Owner and In-Business Chief Data Officer role

• Maintain governance documentation, operating models, standards, and controls

• Draft concise decision papers and presentations for senior stakeholders and

• 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

• 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