AI/ML Data and Analytics - Product Manager, Vice President

JPMorgan Chase & Co.•New York, NY

1d•$99,750 - $201,000

About The Position

You are passionate about shaping the future of AI and data-driven innovation at scale. Join JPMorganChase's AI/ML Solutions team and play a critical role in advancing transformational initiatives that strengthen the firm's data and analytics capabilities while delivering meaningful business outcomes. As a Product Manager within the AI/ML Solutions team, you will be responsible for driving strategic initiatives that enable the firm's data, analytics, and AI objectives. You will lead complex programs, establish governance frameworks, manage cross-functional stakeholder engagement, and help define operating models that maximize business value. Acting as a trusted partner to senior leaders across Lines of Business and Corporate Functions, you will be instrumental in delivering scalable, efficient, and well-governed AI/ML solutions that support the firm's strategic priorities.

Requirements

Bachelor's degree in Business, Finance, Economics, Data Analytics, Computer Science, Engineering, or a related field
8+ years of experience in product management, transformation, program management, strategy, or a related discipline
Proven experience leading large-scale, complex initiatives across multiple stakeholder groups within a matrixed organization
Advanced knowledge of product management principles, product lifecycle management, and Agile delivery methodologies
Strong analytical and problem-solving skills with the ability to translate complex business challenges into actionable strategies and solutions
Experience developing executive-level communications, dashboards, presentations, and business recommendations
Demonstrated ability to manage competing priorities and drive execution in fast-paced, evolving environments
Strong stakeholder management, influencing, and relationship-building skills across senior leadership teams
Ability to leverage data and metrics to support decision-making, prioritization, and performance management
Excellent verbal and written communication skills with the ability to articulate complex concepts to technical and non-technical audiences

Nice To Haves

Experience within financial services, banking, fintech, or a highly regulated industry
Knowledge of AI/ML technologies, data management principles, and modern analytics platforms
Experience supporting enterprise transformation, data, analytics, or AI modernization initiatives
Familiarity with AI governance, model risk management, data controls, and regulatory considerations
Experience working with global teams and managing initiatives across multiple regions
Strong background in portfolio management, strategic planning, or operating model design
Demonstrated success delivering business outcomes through cross-functional collaboration and influence

Responsibilities

Develop and execute strategic product and program roadmaps that align AI/ML initiatives with business objectives and enterprise priorities
Lead the delivery of complex, cross-functional programs, ensuring alignment of scope, timelines, resources, dependencies, and risk mitigation strategies
Partner with business, data, technology, risk, and control stakeholders to define requirements and deliver innovative AI/ML-enabled solutions
Establish and maintain governance frameworks, operating rhythms, and reporting processes that drive transparency, accountability, and execution excellence
Manage portfolio planning activities, including prioritization, investment tracking, budgeting, and performance reporting
Define and monitor key performance indicators to measure program effectiveness, business outcomes, adoption, and value realization
Drive change management efforts that support organizational readiness, adoption, and sustainable implementation of new capabilities
Identify opportunities to improve operating models, streamline processes, and enhance data and analytics delivery effectiveness
Build strong relationships with senior leaders and serve as a trusted advisor for strategic decision-making and transformation initiatives
Foster collaboration across diverse stakeholders and influence outcomes in a highly matrixed environment
Develop repeatable frameworks, playbooks, and best practices that support consistent execution and continued program success