As a Vice President, Data Owner Lead within the Trust and Security team at JPMorganChase, you will be embedded in a highly collaborative data and analytics organization that partners across product, technology, and analytics to enable next-generation, data-driven solutions. You will help shape data requirements, develop specifications for data delivery, and support reporting, analytics, and emerging artificial intelligence and machine learning use cases. Your work will directly contribute to reducing data risk, improving data quality, and accelerating modernization efforts that protect and serve our 65 million customers.

Job responsibilities

• Align data producers, consumers, and standards teams on data solutions that generate product insights and drive data modernization across the organization
• Engage product owners on their roadmaps to surface related data enhancements and improvements needed by consumers of product data
• Partner with analytics and modeling teams to identify the data needed to power product adoption and experience analysis, ensuring these needs are reflected in product release and data publishing plans
• Lead discovery on new data modernization initiatives, including defining and refining business and customer value, and partnering with technology teams on feasibility and data availability
• Refine and prioritize user stories, and lead sprint planning and execution — along with other agile ceremonies — for technology development teams supporting consumer experience requirements
• Drive cross-functional alignment across stakeholders to communicate innovative data solutions effectively and oversee end-to-end deployment
• Champion data governance and compliance practices that reduce data risk and ensure appropriate, responsible data usage across the team

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 5+ years applied experience
• 5+ years of experience in data management or data governance, including hands-on work with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, and big data technologies such as Hadoop or Spark
• Experience developing roadmaps and cloud platform-based solutions for data lake, data warehouse, and business intelligence dashboard environments
• Demonstrated examples of leading data publishing initiatives that improved business insights while maintaining or strengthening data standards and controls
• Proven track record of applying data governance and compliance methods to reduce data risk and ensure appropriate data usage
• Exceptional ability to identify and reconcile stakeholder needs, drive innovative solutions, and communicate them clearly and confidently — both verbally and in writing — across cross-functional teams
• Experience applying agile practices and partnering directly with technology scrum teams to translate product requirements and user stories into technical sizing estimates and delivery plans
• Bachelor's degree in Science, Data, or a related field

Preferred qualifications, capabilities, and skills

• Knowledge of business intent and customer experience goals for consumer banking products, particularly in areas such as Card, Payments, Identity, Authentication, or Fraud Prevention
• Familiarity with identity and trust frameworks or technologies
• Experience working within large-scale financial services or highly regulated environments
• Exposure to artificial intelligence and machine learning use cases in a data ownership or data governance capacity