Data Management Strategy Lead, Vice President - Firmwide CDO

Data is one of the firm’s most powerful assets, and you can help turn it into a true competitive advantage. In this role, you will shape how we unlock value from data by making it ready for artificial intelligence and analytics at scale. You will work with senior leaders across the firm, influence the target-state roadmap, and help teams adopt standards and operating models that stick. If you enjoy structured problem solving, clear storytelling, and driving outcomes through collaboration, you will find strong opportunity and career mobility here. As a Vice President, Data Management Strategy in the Strategy and Execution team within the Firmwide Chief Data Office, you will define and communicate a comprehensive data strategy that helps the firm unlock value from data by making it AI-ready. You will lead strategic initiatives that translate vision into actionable business plans, including implementing standards, adopting operating models, and enabling data products and platforms. You will help build a data-first culture and strengthen governance through thoughtful, practical execution. You will partner closely with senior stakeholders across Lines of Business and Corporate Functions to drive modernization of data management and governance practices. Job Responsibilities Define the Chief Data Office vision and target-state strategy, including actionable business plans Establish the scope and prioritization of data management initiatives Apply structured problem solving and design thinking to address top strategic priorities Collect, synthesize, analyze, and present project data and findings Conduct analyses to identify issues and formulate recommendations Develop strategic presentations for internal and external audiences Perform competitor and industry research using public and internal sources Monitor industry trends and share insights with the broader team and senior executives Coach and manage junior team members Required Qualifications, Capabilities, and Skills Relevant experience across data, analytics, product, or technology strategy and execution Experience developing strategy, target-state roadmaps, and actionable business plans for enterprise initiatives Experience supporting data management, data governance, data platforms, or data product initiatives Strong quantitative, analytical, and structured problem-solving capabilities Strong written and verbal communication skills, with the ability to translate technical concepts into clear, engaging narratives Strong project management and organizational skills, with the ability to manage multiple deliverables under deadlines Strong stakeholder management, leadership, and influencing skills in cross-functional environments Proficiency in Microsoft Excel and PowerPoint Bachelor’s degree or equivalent practical experience in business, finance, economics, mathematics, engineering, data science, or a related field Working knowledge of artificial intelligence and data management concepts, with the ability to engage stakeholders on complex topics and generate insights Preferred Qualifications, Capabilities, and Skills Experience translating complex technical concepts into clear narratives for diverse audiences, including published blogs/articles or presentations Experience and technical knowledge of data management and governance, big data platforms, or data architecture Experience in banking and financial services (for example: capital markets, mergers and acquisitions, equity research, payments, credit cards, consumer banking, private banking, or asset management) MBA or other advanced degree The Chief Data and Analytics Office at JPMorganChase accelerates the firm’s data and analytics journey, including data quality, integrity, and security, and the responsible use of artificial intelligence and machine learning to develop new products, improve productivity, and enhance risk management. The Firmwide Chief Data Office focuses on maximizing the value and impact of data globally in a highly governed way, with teams spanning data strategy, data impact optimization, privacy, data governance, transformation, and talent.