<p>JobID: 210739381</p> <p>Category: Product Management</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2026-04-23T16:50:56+00:00</p> <p>JobShift:</p> <p>:</p> <p>Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence.</p> <p>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.</p> <p>Job responsibilities</p> <ul> <li>Design the future-state operating model for the AI era, including role/task decomposition, decision rights, handoffs, and control points. </li><li>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. </li><li>Identify and prioritize high-impact client "moments of truth" (e.g., onboarding, integration/support, funding/settlement visibility, disputes/chargebacks, servicing, exceptions) for redesign. </li><li>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. </li><li>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. </li><li>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 </li><li>Lead enterprise transformation via a multi-year "Change Book" across people, process, tech, data, controls, and talent </li><li>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). </li></ul> <p>Required qualifications, capabilities, and skills</p> <ul> <li>10+ years of relevant experience across technology, product, strategy/consulting, and/or transformation leadership in a large, complex enterprise environment, with demonstrated outcomes. </li><li>Proven track record leading enterprise-scale transformation programs involving multiple stakeholders and measurable performance improvements. </li><li>Strong practical understanding of GenAI/LLMs and AI delivery lifecycle (experiment ? production ? operations), including evaluation and governance needs. </li><li>Demonstrated ability to define and operationalize metrics/KPIs and communicate performance via dashboards and executive updates. </li><li>Exceptional executive communication and stakeholder management; ability to align leaders and drive decisions. </li><li>Exceptional change management skills that allow large can complex organizations to absorb change, adapt and deliver on vision. </li><li>Strong cross-functional leadership and collaboration skills across product, data, engineering, and architecture teams. </li><li>Systems-thinking and organizational structure mindset: able to map and optimize across people, process, data, technology, and controls. </li></ul> <p>Preferred qualifications, capabilities, and skills</p> <ul> <li>Banking / payments domain experience (client journeys, servicing operations, disputes, risk, settlement, onboarding). </li><li>Experience building reusable AI platforms/services and scaling them across multiple teams. </li><li>Background in large-scale platform engineering, distributed systems, or ML engineering/LLMOps (to partner credibly with architecture and engineering). </li><li>Experience operating in rigorous governance, risk, and control environments </li></ul>