Senior Product Manager, Data and AI Policy

Visa•Foster City, CA

4d•$172,100 - $275,800•Hybrid

About The Position

This role is responsible for developing, implementing, and maintaining Visa’s Data & AI policies, standards, playbooks, and guidance. The individual translates regulatory requirements, industry frameworks, emerging technologies, and governance best practices into practical policy requirements that can be adopted across Visa. The 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. The 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. The position develops, interprets, maintains, and evolves Data & AI policies and related materials; analyzes regulations and governance frameworks; translates requirements into policy positions, controls, decision criteria, and operational processes; and leads policy documents through drafting, stakeholder alignment, approval, publication, implementation, and periodic updates. It partners with stakeholders across Visa, reviews emerging Data & AI use cases, provides risk-based guidance, and creates implementation resources such as decision frameworks, FAQs, training materials, and communications. The role uses feedback and operational insights to improve policy usability and translates requirements into workflows, automated guidance, embedded controls, and scalable implementation approaches. It also leverages AI and automation to improve policy development, knowledge accessibility, and governance processes. Visa requires at least three days in the office; the specific days will be confirmed by the Hiring Manager. Work hours vary according to department needs. The position requires 5–10% travel and is performed in an office setting. Duties include sitting and standing at a desk, communicating in person and by telephone, and frequently operating standard office equipment such as telephones and computers.

Requirements

At least 8 years of relevant work experience with a Bachelor’s degree, at least 5 years with an advanced degree (e.g., Master’s, MBA, JD, MD), or 2 years with a PhD.
5+ years of experience developing, interpreting, implementing, or maintaining Data, AI, Privacy, Risk, Compliance, Technology, or Governance policies, standards, controls, or regulatory requirements.
Experience translating complex business, legal, regulatory, risk, or technical requirements into clear, actionable guidance, documentation, processes, or controls.
Strong written and verbal communication skills, including the ability to draft content for business, technical, legal, and governance audiences.
Ability to collaborate across stakeholder groups and drive alignment on complex topics.
Experience drafting and managing policy documents, standards, procedures, playbooks, FAQs, implementation guidance, or governance frameworks throughout their lifecycle.
Ability to analyze regulations, industry standards, governance frameworks, emerging technologies, and research and translate them into practical requirements for business and technology teams.
Strong knowledge of Data Governance, AI Governance, Responsible AI, AI Risk Management, privacy, and the data and AI lifecycle.
Excellent policy drafting, editing, and communication skills, including the ability to influence stakeholders and drive adoption in a complex, highly matrixed environment.
Experience reviewing and providing Data and AI governance input into policies, standards, procedures, or requirements owned by other organizations.
Ability to leverage AI, automation, or agentic capabilities to improve the quality, speed, scalability, or effectiveness of policy, governance, compliance, or business processes.

Nice To Haves

At least 9 years of relevant work experience with a Bachelor’s degree, 7 or more years with an advanced degree, or 3 or more years with a PhD.
Relevant certifications, particularly the IAPP Artificial Intelligence Governance Professional (AIGP) certification.
Additional certifications such as CIPP, CIPM, CIPT, CDMP, CRISC, CGEIT, or equivalent Data, AI, Privacy, Risk, or Governance certifications.

Responsibilities

Develop, interpret, maintain, and evolve Data & AI policies, standards, playbooks, procedures, FAQs, and implementation guidance.
Analyze regulations, industry standards, governance frameworks, emerging technologies, and research, translating them into practical requirements for Visa.
Translate regulatory, risk, and business requirements into policy positions, governance expectations, controls, decision criteria, and operational processes.
Lead policy documents through drafting, stakeholder alignment, approval, publication, implementation, and periodic updates.
Partner with business, technology, legal, risk, and compliance teams to develop, review, and implement policy requirements.
Provide 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 to operationalize policy requirements and drive adoption.
Use implementation feedback, emerging risks, governance trends, and operational insights to 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 to accelerate policy development, improve knowledge accessibility, enhance governance processes, and increase the scalability and effectiveness of the team’s work.