Product Director, AI Transformation-Payments-Executive Director

JPMorganChase•Plano, TX

About The Position

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence. As a Product Director in AI Transformation within Merchant Services, you lead innovation through the development of products and features that delight customers. As a leader on the team, you leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs.

Requirements

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 Haves

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

Responsibilities

Design the future-state operating model for the AI era, including role/task decomposition, decision rights, handoffs, and control points.
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.
Identify and prioritize high-impact client “moments of truth” (e.g., onboarding, integration/support, funding/settlement visibility, disputes/chargebacks, servicing, exceptions) for redesign.
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.
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.
Drive adoption and responsible AI by design with measurable value: change leadership (comms, training, incentives, manager enablement, communities of practice), talent upskilling pathways, embedded security/data protection/model risk/testing & guardrails, plus KPI dashboards and executive storytelling for trade-offs, progress, and realized outcomes
Lead enterprise transformation via a multi-year “Change Book” across people, process, tech, data, controls, and talent Change Management while driving adoption through change leadership (comms, training, incentives, manager enablement, communities of practice) and talent mobilization (skill needs, upskilling pathways, “day-in-the-life” workflow enablement).

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