You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.

As a Product Manager in Deposits 2.0 AI Enablement, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. 

The AI Specialist (Vice President) is a core execution role on the Deposits 2.0 AI Enablement team, a lean, hands-on function charged with accelerating product delivery with AI, making Deposits 2.0 agentic ready, and establishing the new operating model for AI ways of working. Specialists work fluidly across all of these priorities, owning workstreams and helping solve real problems that matter to Deposits 2.0. At the Vice President level, you take on the function’s most complex problems, help set the standards and patterns the team and Deposits 2.0 will reuse, and help less experienced team members contribute to the team’s overall success. We are looking for team members with deep financial services domain knowledge and hands-on AI expertise. Team members must be naturally curious, wildly collaborative, serious problem solvers, and beyond hard working.

Job responsibilities

• Develops a product strategy and product vision that delivers value to customers
• Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
• Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
• Builds the framework and tracks the product’s key success metrics such as cost, feature and functionality, risk posture, and reliability
• Applies AI to help solve Deposits 2.0’s hardest problems, working alongside the AI Enablement team and partners across the bank to take complex, multi-product challenges from framing through delivery, aligned to the function’s roadmap and the broader business strategy, and delivering the right output for each problem, whether current and target state assessments, discovery enablement, a working solution, a recommendation, or a knowledge base update
• Designs and builds AI agents and skills and sets the patterns others reuse, embedding AI across the product delivery lifecycle in partnership with the Technical Lead and borrowed engineering resources, and shaping the team’s approach when new tools or methods change how teams work rather than leaving adoption to individual choice
• Defines what agentic ready means for Deposits 2.0 by shaping the agentic future state, identifying gaps and design principles, codifying findings into design and engineering standards, and building relationships with experts across the bank before they are needed
• Owns the quality of the knowledge base inputs by working to raise data quality and advance the inputs to the AI framework, so every subsequent use is smarter than the last
• Shapes the new operating model by experimenting with how Deposits 2.0 teams are structured and operate with AI embedded in roles, workflows, documentation, and governance, eliminating bureaucracy, improving processes, and replacing the traditional workshop with more efficient ways of working
• Drives organizational readiness and communication by leading adoption, skilling, and change for AI ways of working, mentoring Associates and peers, owning delivery plans and value derived versus expected, managing cost and resources, adapting messages for senior leaders, and running disciplined meetings with a clear purpose and defined next steps
• Bridges gaps across teams and escalates with integrity by working with Engineering, Architecture, Data, Design, Risk and Controls, and Operations partners who do not report to them, raising risks in senior forums early with evidence, naming and escalating requests at the edge of the risk framework, and holding self and others accountable to the firm’s risk, controls, and conduct standards

Required qualifications, capabilities and skills

• 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, with financial services experience (ideally in consumer banking) and hands-on AI expertise, including agentic AI frameworks and large language models, and a demonstrated record of applying AI to deliver outcomes in complex environments
• Naturally curious, with the drive to learn everything and the discipline to do it intentionally: starts learning without being asked, chooses what to learn next based on what the work needs, actively seeks specific feedback, and turns what is learned into improvements to products, processes, and the way the team works
• Highly collaborative: produces results through people you do not manage, shares credit, invites constructive challenge, and can be observed changing a position in response to a stronger argument
• Customer focused: keeps the Chase customer and the bank at the center of the work and anticipates the needs of the teams who will use what is built, balancing them with the firm’s best interests and a strong control framework
• Understanding of related domains, including data, architecture, product, design, risk, and operations, well enough to anticipate their constraints and engage them early
• Sound judgment built on first principles: reasons from underlying principles and recognizes patterns across problems, codifying them into reusable approaches and standards, to make the right call, including knowing when AI is the right tool and when it is not; has the vulnerability to say “I don’t know” and ask for help; and defends a recommendation in senior forums while remaining open to a better answer
• Senior-level communication: communicates clearly through change, adapts to the audience, and delivers honest, evidence-based assessments

Preferred qualifications, capabilities and skills

• Demonstrated prior experience working in a highly matrixed, complex organization
• JPMorgan Chase experience, with familiarity with how the firm operates, how product delivery is governed, and how decisions are made at scale
• Experience helping stand up a new function or capability, comfortable where the playbook still has to be written