Product Manager, Vice President - Deposits 2.0 AI Enablement

JPMorganChase•Columbus, OH

About The Position

The Product Manager, Vice President, on Deposits 2.0 AI Enablement is a core execution leader who accelerates product delivery with AI, prepares Deposits 2.0 for agentic AI, and helps establish new AI-enabled ways of working. This is a hands-on role for someone with deep financial services knowledge and practical AI expertise who can take complex problems from initial framing through delivery. The Vice President tackles the function’s most complex work, establishes reusable standards and patterns, and helps less experienced colleagues contribute to the team’s success. The role applies AI to challenging Deposits 2.0 problems, designs and builds AI agents and skills, improves the knowledge base that supports AI tools, and shapes how teams embed AI in roles, workflows, documentation, and governance. It also defines the agentic-ready future state for Deposits 2.0 and drives organizational adoption, change, and communication. The Product Manager serves as the voice of the customer and contributes to profitable products that provide customer value, while ensuring scalability, resiliency, stability, and adherence to the firm’s risk, controls, and conduct standards. The role works closely with Engineering, Architecture, Data, Design, Risk and Controls, and Operations partners, including colleagues who do not report to the role. The position calls for curiosity, collaboration, strong problem-solving, sound judgment, and clear, evidence-based communication with senior leaders.

Requirements

At least 5 years of experience or equivalent expertise in product management or a relevant domain area.
Advanced knowledge of the product development life cycle, design, and data analytics.
Proven ability to lead product life-cycle activities, including discovery, ideation, strategic development, requirements definition, and value management.
Bachelor’s degree in a related area of study.
Financial services experience, ideally in consumer banking.
Hands-on AI expertise, including agentic AI frameworks and large language models, with a demonstrated record of applying AI to deliver outcomes in complex environments.
Curiosity and intentional learning habits, including proactively learning, seeking specific feedback, and applying learning to improve products, processes, and team practices.
Strong collaboration skills, including producing results through people not directly managed, sharing credit, inviting constructive challenge, and adapting to stronger arguments.
Customer focus, including keeping Chase customers and the bank at the center of the work, anticipating the needs of teams using solutions, and balancing those needs with the firm’s interests and control framework.
Working understanding of data, architecture, product, design, risk, and operations sufficient to anticipate constraints and engage relevant partners early.
Sound, first-principles judgment; ability to recognize patterns and codify reusable approaches and standards; discernment about when AI is appropriate; willingness to ask for help; and ability to defend recommendations while remaining open to better answers.
Senior-level communication skills, including communicating clearly through change, adapting to the audience, and delivering honest, evidence-based assessments.

Nice To Haves

Prior experience working in a highly matrixed, complex organization.
JPMorgan Chase experience and familiarity with how the firm operates, product delivery governance, and decision-making at scale.
Experience helping establish a new function or capability and comfort working where the playbook has yet to be written.

Responsibilities

Develop product strategy and vision that deliver value to customers.
Manage discovery and market research to identify customer solutions and incorporate them into the product roadmap.
Own, maintain, and develop a product backlog that supports the strategic roadmap and value proposition.
Build frameworks and track product success metrics, including cost, features and functionality, risk posture, and reliability.
Apply AI to complex, multi-product Deposits 2.0 problems from framing through delivery, producing the appropriate outcome, such as assessments, discovery enablement, a working solution, a recommendation, or a knowledge base update.
Design and build AI agents and skills, establish reusable patterns, and embed AI across the product delivery lifecycle with the Technical Lead and engineering resources.
Shape the team’s approach to adopting new tools and methods that change how teams work.
Define what agentic-ready means for Deposits 2.0 by shaping the future state, identifying gaps and design principles, codifying findings into design and engineering standards, and building relationships with bank experts.
Improve the quality of knowledge base inputs and advance the data used by the AI framework.
Shape and test an AI-enabled operating model across team structures, roles, workflows, documentation, and governance; improve processes and replace traditional workshops with more efficient approaches.
Lead organizational readiness, adoption, skilling, and change for AI ways of working; mentor Associates and peers; own delivery plans and value tracking; manage cost and resources; tailor communications for senior leaders; and run disciplined meetings with clear purposes and next steps.
Work across Engineering, Architecture, Data, Design, Risk and Controls, and Operations; raise risks early with evidence, escalate requests at the edge of the risk framework, and uphold firm risk, controls, and conduct standards.
Lead product life-cycle activities including discovery, ideation, strategic development, requirements definition, and value management.