Senior Product Manager, Data and AI Policy at Visa in Foster City, CA

  • Company: Visa
  • Location: US - Foster City, CA
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-11

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Job description

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. Job Description This role is responsible for developing, implementing, and maintaining Visa's Data & AI policies, standards, playbooks, and guidance. The individual will translate regulatory requirements, industry frameworks, emerging technologies, and governance best practices into practical, actionable policy requirements that can be adopted across Visa. Success in this role requires strong policy drafting skills, sound judgment, and the ability to navigate ambiguity while building alignment across business, technology, legal, risk, and compliance stakeholders. As part of a team focused on scaling governance through technology, this individual is also expected to identify and apply AI-enabled approaches that improve the speed, consistency, accessibility, and effectiveness of policy development, implementation, and governance activities. Data & AI Policy Development, Implementation & Enablement Develop, interpret, maintain, and evolve Data & AI policies, standards, playbooks, procedures, FAQs, and implementation guidance that enable responsible, compliant, and effective business use of data and AI. Analyze regulations, industry standards, governance frameworks, emerging technologies, and research, translating them into practical and actionable policy requirements that can be implemented across Visa. Translate regulatory, risk, and business requirements into clear policy positions, governance expectations, controls, decision criteria, and operational processes. Lead assigned policy documents through their lifecycle, including drafting, stakeholder alignment, approval, publication, implementation, and periodic updates. Partner across business, technology, legal, risk, and compliance teams to develop, review, and implement policy requirements, while providing Data & AI governance input into policies and standards owned by other organizations. Review emerging Data & AI use cases and provide risk-based guidance that balances innovation, business value, regulatory obligations, and risk management requirements. Develop implementation guidance, decision frameworks, FAQs, training materials, and communication assets that help operationalize policy requirements and drive adoption. Use implementation feedback, emerging risks, governance trends, and operational insights to continuously improve policy clarity, effectiveness, and usability. Translate policy requirements into workflows, governance processes, automated guidance, embedded controls, and scalable implementation approaches. Leverage AI and automation capabilities to accelerate policy development, improve knowledge accessibility, enhance governance processes, and increase the scalability and effectiveness of the team's work. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD 5+ years of experience developing, interpreting, implementing, or maintaining Data, AI, Privacy, Risk, Compliance, Technology, o

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