Product Director, AI Transformation-Payments-Executive Director
Role details
Job location
Tech stack
Job description
- 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).
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.
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
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.