Product Manager, Risk Products

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you’ll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

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 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 understand customer behavior and product performance
• Ensure responsible AI practices (transparency, fairness, explainability)
• Stay current on emerging AI technologies and assess where to apply them

Cross-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

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications

• 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications

• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Experience:
• Experience with AI/ML products, Dashboard, and reporting particularly in production environments
• Background in fintech, risk management, or financial services preferred
• Demonstrated success launching technical products for non-technical users
• Experience in building large scale, real-time mission critical platforms, experience in building Risk Platform is a plus
• Product Skills
• Able to break down complex technical ideas into clear user value
• Strong communicator who writes clearly, listens actively, and works well across teams
• Uses data to make decisions and is comfortable with experimentation and A/B testing
• Understands customer needs and applies design thinking to shape solutions
• Balances innovation with practical delivery needs and business priorities
• Comfortable operating in fast‑moving, ambiguous environments
• Knowledge of global markets, competitive landscape and related dynamic
• Uses strong customer empathy to identify real problems and partner with UX & other stakeholders to design meaningful, intuitive experiences.
• Keeps the team aligned on the outcomes that matter most
• Technical Skills
• Comfortable working with modern architectures like event‑driven systems, streaming data, and real‑time platforms
• Good understanding of APIs, integrations, and how systems communicate
• Familiar with AI/ML concepts and tools, including LLMs, embeddings, vector stores, or RAG
• Awareness of UI/UX practices and ability to use quick prototyping tools when needed
• Knowledge of cloud technologies (AWS preferred), data pipelines, and analytics tooling

U.S. Applicants Only

The estimated salary range for this position is $ to $ USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.

Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Key skills/competency

• Product Management
• Risk Management
• Fraud Analytics
• Reporting
• AI/ML
• SaaS Platforms
• Data Science
• API Design
• Financial Services
• Stakeholder Management