Visa’s Risk and Identity Solutions (RaIS) group delivers advanced fraud detection and prevention solutions, ensuring seamless, secure payment experiences. The Predictive Fraud Intelligence (PFI) team develops core AI/ML products within the Visa Protect suite, empowering clients to detect and prevent fraud throughout the payment lifecycle.

As fraud vectors have rapidly evolved, PFI has significantly expanded its product portfolio and reimagined its approach to building, deploying, and monitoring real-time, low-latency AI models. We seek a seasoned AI product Manager to drive platform capabilities and tooling, accelerating model development and supporting diverse client needs.

Visa is seeking a seasoned Product Manager with a keen interest in heavy tech platforms, deep understanding of ML development lifecycle & MLOps, and a strong passion for innovation. This role is pivotal in enhancing some of the fastest fraud detection models in the world. It is an opportunity to improve the end-to-end process, bring in continuous learning, keeping them up to date to catch the latest fraud trends.

As a product leader, you will collaborate closely with technology, data Science, cross-functional products, and regional teams to define priorities, craft solutions, and deliver key product capabilities. You will leverage the latest technology, AI innovation, to improve the processes, automate workflows to make them fast and efficient.

Responsibilities:

Customer-Centric Product Vision: Understand customer needs and build empathy with technical users like data scientists and data engineers to define and evolve the product roadmap.
Data Ecosystem Leadership: Develop a deep understanding of the data lifecycle and drive strategic improvements across data sourcing, quality, and governance.
Model Optimization: Continuously enhance existing AI/ML models to improve fraud detection accuracy and performance.
GenAI Integration: Leverage generative AI to streamline model development, deployment, and monitoring processes. Build agents to automate the workflows.
Cross-Functional Collaboration: Partner closely with engineering, data science, and product teams across geographies to deliver scalable, impactful solutions.
Execution Excellence: Lead the delivery of complex, high-impact initiatives that transform the model development lifecycle and accelerate innovation.

The successful execution of this role will be achieved through a combination of leadership, technology/AI-ML knowledge, platform thinking, innovation, passion for customers, and applied strategy.

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