JPMorgan Chase

Compensation

Full Description

Are you passionate about shaping the future of data management and governance? Join our Strategy and Execution team to define and deliver the CDO vision, driving critical projects that enable Lines of Businesses and Corporate Functions to unlock value from data and achieve AI readiness. You will play a key role in building a data-first culture and modernizing the Firm’s approach to data management. As a Vice President in Data Management Strategy within the Firmwide CDO, you will define and articulate a comprehensive data strategy to unlock value from data by making it AI-ready. You will lead strategic initiatives to implement standards, adopt operating models, develop new products and platforms, and drive governance. Your work will include developing actionable business plans, building a data-first culture, and engaging with senior leaders across the Firm. Job responsibilities Define the CDO 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 creative analyses to identify issues and formulate recommendations. Develop strategic presentations for internal and external audiences. Perform competitor and industry research leveraging both public and non-public sources. Monitor industry trends and share insightful reports and analyses with the broader team and senior executives. Coach and manage junior team members. Required qualifications, capabilities, and skills 5+ years of industry experience with a strong data, analytics, or product background. Diverse problem-solving experience with a consulting mind frame from a premier management consulting firm, technology firm, banking division, or internal strategy group. Outstanding ability to analyze problems and apply quantitative, analytical, and conceptual problem-solving approaches. Excellent communication skills (oral and written) and ability to work effectively in cross-functional teams. Excellent project management and organizational skills, with the ability to manage multiple deliverables and work under pressure. Strong interpersonal leadership and influencing skills. Proficiency in MS Excel and PowerPoint. BS/BA degree or equivalent experience in business, finance, economics, math, engineering, data science, or other related area. Familiarity with AI and data management, with the ability to engage stakeholders on complex technical concepts and generate insights. Preferred qualifications, capabilities, and skills Experience and technical knowledge of data management and governance, big data platforms, or data architecture. MBA and/or advanced degree from a top-tier program.