Product Manager, Risk Products

Visa•Atlanta, GA

1d•Hybrid

About The Position

Visa is seeking a strategic, commercially minded, client-centric, and technically fluent Product Manager to drive the analytics, reporting, and insights capabilities of its Integrated Risk Platform. This platform is a core component of Visa’s mission to protect the global payments ecosystem through real-time fraud detection, risk scoring, and intelligent decisioning. The role involves leading Analytics, Reporting, & Insights capabilities, collaborating closely with Engineering, Data Science, and client-facing teams to deliver intelligent, scalable, and high-performance capabilities globally in a SaaS delivery model. The Product Manager will translate complex stakeholder needs into platform solutions that reduce fraud, enhance trust, and drive measurable outcomes for clients including Issuers, Acquirers, FinTech’s, Merchants, and Networks.

Requirements

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
Experience with AI/ML products, Dashboard, and reporting particularly in production environments
Demonstrated success launching technical products for non-technical users
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
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
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

Nice To Haves

6 or more years of relevant 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
Background in fintech, risk management, or financial services preferred
Experience in building large scale, real-time mission critical platforms, experience in building Risk Platform is a plus

Responsibilities

Define and deliver next-generation analytics and reporting capabilities for the Visa Risk Platform, including real-time KPI dashboards for fraud trends, case volumes, decision summaries, and fraud prevention metrics.
Develop Analyst & Supervisor views with queue health, SLA tracking, and team performance metrics.
Create root-cause exploration tools for false positives, false negatives, and decision flows.
Build global risk visibility tools enabling partners to benchmark performance against peers.
Deliver real-time dashboards tracking fraud rule usage, fraud metrics, operational performance, decision quality, and fraud strategy health.
Partner with Visa’s AI/ML & research teams to integrate GenAI summaries of fraud trends and anomalies, agentic analytics for proactive investigation of data shifts, predictive insights for emerging fraud patterns, and anomaly detection for real-time behavioral spikes.
Design a scalable reporting platform with configurable reports across tenants, geographies, and product lines, including scheduled delivery with precision filtering and compliance alignment, and export/API capabilities for enterprise data teams.
Ensure strong governance around multi-tenant data access and role-based visibility.
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.
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.
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.
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.