Product Manager, Risk Products at Visa

We are looking for a strategic, commercially minded, client‑centric, and technically fluent 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, FinTech’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 PlatformPlatform 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 understand customer behavior and product performance • Ensure responsible AI practices (transparency, fairness, explainability) • Stay current on emerging AI technologies and assess where to apply themCross-Functional Collaboration • Work closely with engineering, data science, design, risk experts, and customer-facing teams • Partner with PMs across Rules, Case Management, Identity, and other Foundational Services • Gather customer feedback and incorporate it into product improvements • Communicate roadmap and updates to leadership and stakeholders • Partner with data engineering to define models, pipelines, and metrics • Ensure data quality, accuracy, and consistency across all reporting products