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.

Job Description

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 Senior 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 product, and regional teams to define priorities, craft solutions, and deliver key product capabilities.

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.

• 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.

Qualifications

- 8+ years of professional experience with a bachelor’s degree.
- 4+ years in product management, focused on platforms and/or data products.
- Strong grasp of Agile methodologies and proven success in fast-paced, iterative environments.
- Demonstrated ability to lead cross-functional AI/ML and data science teams.
- Strategic thinker with sharp analytical and problem-solving skills.
- Excellent communication and collaboration skills across global, diverse teams.

Preferred Qualifications
- Understanding payments, fraud and authentication landscape and ability to translate product strategy into executable plans.

Additional Information

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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.