Product Director, AI Transformation-payments-executive Director

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Commercial & Investment Bank

Product Director to lead AI Transformation in Payments, focusing on designing the future-state operating model, scaling AI capabilities, identifying client pain points, and driving adoption of AI-enabled workflows. This role requires strong change management, stakeholder alignment, and a practical understanding of GenAI/LLMs and the AI delivery lifecycle within a large enterprise and regulated environment.

What you'd actually do

  1. Design the future-state operating model for the AI era, including role/task decomposition, decision rights, handoffs, and control points.
  2. Scale AI from use cases to enterprise capability by partnering with operations, product, engineering on reusable building blocks (APIs, services, prompt/agent patterns, playbooks, evaluation harnesses) and ensuring production-grade reliability/observability/continuous improvement.
  3. Identify and prioritize high-impact client “moments of truth” (e.g., onboarding, integration/support, funding/settlement visibility, disputes/chargebacks, servicing, exceptions) for redesign.
  4. Diagnose client pain points using data and frontline insights and deliver AI-enabled workflow redesigns that eliminate root causes, improve client experience, reduce cycle time, and increase quality.
  5. Partner with functional leaders to reconfigure roles and teams as work shifts from manual execution to AI-assisted/AI-orchestrated workflows, adding capabilities like AI product ownership, AI ops, model governance, and human-in-the-loop review.

Skills

Required

  • 10+ years of relevant experience across technology, product, strategy/consulting, and/or transformation leadership in a large, complex enterprise environment, with demonstrated outcomes.
  • Proven track record leading enterprise-scale transformation programs involving multiple stakeholders and measurable performance improvements.
  • Strong practical understanding of GenAI/LLMs and AI delivery lifecycle (experiment → production → operations), including evaluation and governance needs.
  • Demonstrated ability to define and operationalize metrics/KPIs and communicate performance via dashboards and executive updates.
  • Exceptional executive communication and stakeholder management; ability to align leaders and drive decisions.
  • Exceptional change management skills that allow large can complex organizations to absorb change, adapt and deliver on vision.
  • Strong cross-functional leadership and collaboration skills across product, data, engineering, and architecture teams.
  • Systems-thinking and organizational structure mindset: able to map and optimize across people, process, data, technology, and controls.

Nice to have

  • Banking / payments domain experience (client journeys, servicing operations, disputes, risk, settlement, onboarding).
  • Experience building reusable AI platforms/services and scaling them across multiple teams.
  • Background in large-scale platform engineering, distributed systems, or ML engineering/LLMOps (to partner credibly with architecture and engineering).
  • Experience operating in rigorous governance, risk, and control environments

What the JD emphasized

  • AI Transformation
  • AI era
  • AI delivery lifecycle
  • AI product ownership
  • AI ops
  • model governance
  • AI-assisted/AI-orchestrated workflows
  • responsible AI by design
  • evaluation and governance needs

Other signals

  • Scale AI from use cases to enterprise capability
  • AI-enabled workflow redesigns
  • AI-assisted/AI-orchestrated workflows
  • responsible AI by design
  • enterprise transformation