Own Product Discovery & Strategy (Defining the "What")
• Partner with Finance and Payments leaders to uncover deep business pain points, not just surface requests, across payment initiation, settlement, reconciliation and operational payment processes.
• Conduct user research: interviews, workflow observation, and usage analytics across Payments Operations teams.
• Size and prioritize opportunities by business impact, user value, and strategic fit, including reduction in payment exceptions, settlement latency, and manual invoicing efforts.
• Build and maintain a living AI roadmap that balances near-term wins (e.g., intelligent payment matching) with long-term vision (e.g., autonomous payment orchestration).
Drive Product Definition & Delivery (Building the "Right Thing")
• Translate business needs into precise user stories, acceptance criteria, and success metrics across both Finance AI and payments product surfaces.
• Define high-value AI use cases such as automated financial analysis, conversational policy assistance, real-time payment anomaly detection, and AI-driven reconciliation and exception management.
• Articulate system-level requirements for AI agents, including real-time data access to payment rails, audit trails, explainability, and integration with payment processors, banking APIs, and internal ERP systems.
• Define and document payment product requirements including support for multiple payment rails (ACH, wire, card, real-time payments), multi-currency settlement, and cross-border compliance.
• Drive sprint planning, scope management, and release strategy with Engineering across both AI platform and payments infrastructure work-streams.
Enable Cross-Functional Orchestration (Coordinating the Impact)
• Operate at the center of the product-business-engineering triad, keeping
Finance, Payments Operations, and Technology teams aligned.
• Challenge stakeholder requests to ensure the right problem is being solved first, distinguishing between payments process inefficiencies and true product gaps.
• Advocate for user needs while articulating clear trade-offs on scope, timeline, and quality, including regulatory and compliance constraints inherent to payments.
• Partner with Design & Data Science on UX quality, AI model requirements, and the design of payment intelligence dashboards and alerting systems.
Establish Product Excellence & Ethical AI (Measuring & Iterating)
• Define success metrics spanning adoption, satisfaction, business outcomes, and model performance, including payment straight-through processing rates, reconciliation accuracy, and exception reduction.
• Build continuous feedback loops that turn user signal into product improvements across both AI features and payments workflows.
• Uphold Apple's standards for privacy, security, and accessibility across all Finance and Payments products.
• Lead responsible AI practices: accuracy validation, bias detection, transparent user communication, and audit-ability of AI-assisted payment decisions.