Product Director, AI Transformation-Payments-Executive Director

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.

Job 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).

Required qualifications, capabilities, and skills

• 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.

Preferred qualifications, capabilities, and skills

• 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