Vice President, Global Data & AI Governance

Company Description

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.

The Global Data Office With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data, analytics and artificial intelligence (AI) on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.

Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm.

Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change‑agents and passionate about the future of data around the world.

The VP, Global Data & AI Governance leads Visa’s enterprise-wide strategy, policy development, and oversight mechanisms for responsible data and artificial intelligence use. This executive ensures Visa’s data and AI practices meet the highest standards of security, ethics, regulatory compliance, and operational excellence—supporting the company’s mission to enable secure, trusted digital payments worldwide. With the fast evolution of data and AI, the leader must set a vision and process that evolves and anticipates the pace of innovation.

This role reports to the Chief Data Officer and works closely with leaders across Privacy, Legal, Risk, Cybersecurity, Technology, and Product. In addition to setting the strategy, executing data and AI governance, this leader is responsible to helping business leaders anticipate and ensure that our products, services and processes take into account data and AI governance from their inception.

Responsibilities include:

Strategy & Leadership

• Define and execute Visa’s global strategy for data and AI governance, ensuring compliance with Visa’s Data Values and AI Principles, evolving regulatory requirements and alignment with business priorities.
• Serve as Visa’s most senior authority on data governance, emerging AI regulation, and best practices for trustworthy AI.
• Present program updates, risk assessments, and strategic recommendations to executive forums, including the Operational Risk Sub‑Committee (ORS) and Corporate Risk Committee (CRC).

Enterprise Data Governance

• Lead development and enforcement of global policies for data quality, metadata, lineage, classification, retention, access, and usage.
• Oversee enterprise data standards and operating models, including Data Stewardship networks and data domain ownership.
• Drive adoption of data and AI controls across business units and platforms, ensuring consistency and auditability.
• Integrate data and AI governance by harmonizing policy and governance practices across functions.

AI Governance & Responsible AI

• Build Visa’s AI governance operating model, including risk assessments, model oversight committees, monitoring, and controls.
• Implement frameworks for ethical, transparent, and fair AI, aligned with evolving global regulations and industry standards.
• Partner with product, engineering, and data science teams to enable compliant, secure AI development and deployment.
• Establi…