Product GenAI Transformation & Development, Vice President

JPMorgan Chase & Co.•New York, NY

1d•$142,500 - $190,000

About The Position

The Chief Data & Analytics Office (CDAO) Product GenAI Transformation & Development VP carries two core mandates — driving the transformation of the product function to be GenAI/Agent-first, and developing and maintaining the scripts, tools, and lightweight applications that make the organization measurably faster and more effective. GenAI has fundamentally changed what a small, skilled team can build and how quickly they can build it. What previously required weeks of engineering effort can now be prototyped in hours. This role exists to capitalize on that shift — driving accelerated adoption of AI-native workflows across the product organization, delivering tangible productivity gains from internal tooling, and systematically eliminating manual effort that no longer needs to be manual. Success is measured by the speed of AI adoption, the reliability and impact of internal tools, and sustained operational improvement across the product function. As a CDAO Product AI Transformation & Development VP in CDAO Product & Platforms, you will partner with Product Managers, Engineers, and leadership to reshape how the product function operates — embedding GenAI and agentic approaches into daily workflows, decision-making, planning, and delivery, and moving the organization from occasional AI experimentation toward a genuinely AI-native operating posture where intelligent automation is the default rather than the exception. This is transformation driven by working solutions — building functional tools, demonstrating measurable results, and making the case for new ways of working through tangible outcomes rather than theoretical frameworks. You also own the internal tooling layer that makes the product organization faster, leaner, and more effective. This includes designing, building, and maintaining practical scripts, automations, and lightweight applications that eliminate toil, streamline operations, and improve team effectiveness. You act as the bridge between strategic AI vision and working code, turning transformation ambitions into deployed solutions that teams rely on every day.

Requirements

5+ years of experience in a role combining technology delivery, AI/ML applied work, product operations, or technical program management, with demonstrated ability to operate across both strategic and hands-on technical responsibilities.
Demonstrated experience developing automations, scripts, and lightweight applications using GenAI tooling — including AI-assisted code generation, copilot-style development environments, and agentic development workflows — with the ability to rapidly build and ship internal solutions that teams rely on daily.
High ownership, independence, and comfort operating in ambiguous, fast-moving environments — able to make progress without detailed requirements or heavy oversight, and willing to proactively identify and act on opportunities for improvement.
Demonstrated change leadership and the ability to drive adoption of new ways of working across teams that may be skeptical or entrenched, combining persistence with clear communication of the value at stake.
Experience with modern development and collaboration tools including Git, CI/CD pipelines, Atlassian, Terraform, and cloud platforms, with comfort operating across the full development lifecycle from prototyping through deployment.

Nice To Haves

Experience in management consulting, corporate strategy, or organizational transformation with an AI or digital focus, providing a structured approach to driving change at scale.
Hands-on development skills in Python or similar scripting languages, with demonstrated ability to build and maintain production-quality scripts and internal applications.

Responsibilities

Define and execute the roadmap for transforming the product function to be GenAI/Agent-first, establishing clear phases, milestones, and success criteria that move the organization from current state to sustained AI-native operations.
Identify high-impact use cases where GenAI and agentic solutions can replace or augment manual product management workflows — including intake triage, backlog synthesis, stakeholder reporting, and dependency analysis — prioritizing based on effort, value, and feasibility.
Design adoption strategies including training curricula, change management plans, playbooks, and success metrics that drive sustained behavioral change rather than one-time pilots that fade after launch.
Stay current on emerging GenAI and agentic capabilities and translate them into practical opportunities for the product function, serving as the organization’s internal expert on what is possible, what is maturing, and what is not yet ready for enterprise use.
Design, build, and maintain scripts, automations, and lightweight applications that improve organizational efficiency — including automated reporting pipelines, data aggregation tools, workflow orchestrators, and integrations.
Identify repetitive manual processes across the product organization and develop programmatic solutions to eliminate or substantially reduce them, prioritizing based on time savings, error reduction, and user impact.
Manage the full lifecycle of internal tools including requirements gathering, development, testing, deployment, documentation, and ongoing maintenance, ensuring each tool remains reliable and fit for purpose as the organization evolves.