Senior AI Product Manager - Risk Platform

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

We are looking for a strategic, commercially minded, client‑centric, and technically fluent Senior Product Manager to drive the analytics, reporting, and insights capabilities of our Integrated Risk Platform—a core component of Visa’s mission to protect the global payments ecosystem through real‑time fraud detection, risk scoring, and intelligent decisioning.

In this role, you will lead Analytics, Reporting, & Insights capabilities that serve as a core component of the Visa Integrated Risk Platform. In this role you will closely collaborate with Engineering, Data Science, and client‑facing teams to deliver intelligent, scalable, and high‑performance capabilities global in a SaaS delivery model. You will be responsible for translating complex stakeholder needs into platform solutions that reduce fraud, enhance trust, and drive measurable outcomes for our diverse client base - including Issuers, Acquirers, Fin Tech’s, Merchants, and Networks.

What You’ll Build

Fraud Analytics & Reporting

You will define and deliver next‑generation analytics and reporting capabilities that serve as a core component of the Visa Risk Platform.

• Real‑time KPI dashboards for fraud trends, case volumes, decision summaries, fraud $ prevented, etc.
• Analyst & Supervisor views with queue health, SLA tracking, and team performance metrics.
• Root‑cause exploration tools for false positives, false negatives, and decision flows.
• Global risk visibility tools enabling partners to benchmark performance against peers.
• Performance Dashboards: Deliver real‑time dashboards that track fraud rule usage, fraud metrics, operational performance, decision quality, and fraud strategy health.

AI‑Powered Fraud Insights

Partner with Visa’s AI/ML & research teams to integrate:

• GenAI summaries of fraud trends and anomalies.
• Agentic analytics to proactively investigate data shifts.
• Predictive insights for emerging fraud patterns.
• Anomaly detection for real‑time behavioral spikes.

Enterprise‑Grade Reporting Engine

Design a scalable reporting platform with:

• Configurable reports across tenants, geographies, and product lines.
• Scheduled delivery with precision filtering and compliance alignment.
• Export, APIs & data sharing for enterprise data teams.
• Strong governance around multi‑tenant data access and role‑based visibility.

Key Responsibilities:

Product Strategy & Vision

• Define the long‑term strategy for Visa’s fraud analytics & Reporting platform
• Build a clear roadmap across dashboards, data models, AI insights, and reporting APIs
• Align with cross‑functional teams across Visa’s Integrated Risk Platform

Platform Product Leadership

• Lead an API‑driven, multi‑tenant analytics platform supporting multiple Visa products
• Write clear, well‑structured Epics and Features that translate strategy into actionable engineering work.
• Track the status of epics, features, and in‑flight deliverables across engineering squads
• Champion platform‑first design, reusable components, and modular architecture
• Ensure the analytics and reporting platform capability supports onboarding, automation, and self‑service
• Track key performance indicators around adoption, usage, latency, and platform health
• Conduct continuous backlog grooming, roadmap updates, and release planning.
• Ensure the product backlog remains healthy, prioritized, and aligned to platform strategy.

AI & Data‑Driven Product Management

• Integrate AI/ML capabilities to improve insights and user productivity
• Use GenAI tools for prototyping, narrative generation, and user research
• Apply AI‑driven analytics to…