Director, AI Governance, Risk & Resilience

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.
Visa will accept applications for this role until at least 08-17-2026
Job Description

Directors in Product Development/Management at Visa are responsible for leading the execution, evolution, and continuous improvement of governance, operational resilience, and risk management practices supporting technology products and AI-driven solutions within the payments ecosystem. This role serves as a key leader responsible for operationalizing and advancing Model Risk Management (MRM), incident management, audit readiness, and operational risk management capabilities across Visa's fraud and risk product portfolio.

The Director partners closely with Product, Data Science, Engineering, Risk, Compliance, Legal, Audit, and Model Risk Management (MRM) stakeholders to establish scalable governance frameworks, strengthen operational controls, support regulatory and audit obligations, and enhance organizational resilience. This individual will drive day-to-day execution while helping shape the future state of governance and risk management practices as AI technologies, analytical methodologies, and regulatory expectations continue to evolve.

Success in this role requires strong leadership, operational rigor, risk management expertise, and the ability to influence stakeholders across a highly matrixed environment. The Director will lead teams and initiatives focused on governance execution, operational resilience, incident management, issue remediation, process automation, and audit readiness while balancing innovation, risk management, and regulatory expectations. The ideal candidate brings a forward-thinking mindset and a demonstrated ability to adapt governance and operational practices to support emerging technologies, including Agentic AI, Generative AI, large language models (LLMs), and large transaction models (LTMs).

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g., ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:

- Partner with organizational leaders to implement and continuously enhance Model Risk Management (MRM) processes across the model lifecycle, including inventory management, validation coordination, ongoing monitoring, annual reviews, issue remediation, and governance reporting.

- Lead the design, implementation, and ongoing maturation of a portfolio-wide incident management program for model, data, technology, and operational events, including classification standards, escalation protocols, response procedures, root-cause analysis, lessons learned, and executive reporting.

- Drive operational risk management activities by establishing and maintaining risk assessments, controls, risk indicators, governance processes, and monitoring frameworks supporting AI, analytics, and fraud products.

- Lead day-to-day execution of audit readiness programs, ensuring documentation, evidence, inventories, attestations, controls, and governance artifacts remain accurate, complete, and inspection-ready.

- Manage issue remediation programs and coordinate timely resolution of audit findings, MRM observations, compliance gaps, control deficiencies, and operational risk issues.

- Partner with Product, Data Science, Engineering, Risk, Compliance, Legal, and Audit teams to translate governance requirements into scalable operating procedures and repeatable processes.

- Establish and maintain operational risk dashboards, key risk indicators (KRIs), and governance reporting that provide leadership visibility into risk posture, emerging issues, and remediation progress.

- Identify and implement opportunities to automate governance, compliance, monitoring, attestation, and audit support activities to improve efficiency and reduce operational risk.

- Coordinate governance activities across MRM, Data Governance, AI Governance, Product, and Client Support tea