Director, AI Product Management - Global Marketing Services

Visa•San Francisco, CA

5d•$179,000 - $287,000•Hybrid

About The Position

Visa is seeking a Director, AI Product Management for Global Marketing Services to own the organization’s internal AI solutions and AI agent product portfolio. The role identifies, prioritizes, and designs AI-enabled opportunities that improve productivity, quality, speed, and scalability across Marketing Services. As part of the AI Transformation team, the Director translates business needs into product requirements, manages the internal use-case backlog, and serves as the business product owner during Technology sprint and build cycles. The Director owns the end-to-end internal AI product lifecycle, from opportunity identification and prioritization through agent specifications, MVP definition, build collaboration, adoption measurement, and continuous improvement. The role works with Data Scientists, Data Engineers, Technology partners, business stakeholders, regional teams, Finance, Legal, Privacy, Risk, Compliance, and external vendors. It reports to the Senior Director, AI Transformation, Global Marketing Services. The position is based in Visa’s San Francisco Mission Rock office and is hybrid. Employees are expected to work in the office two to three set days per week, with at least three office days required as confirmed by the Hiring Manager. The role requires travel 5–10% of the time. Work hours vary with departmental needs. Visa is not offering relocation assistance. The role is performed in an office setting and involves 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 12 years of work experience with a Bachelor's degree, or at least 10 years of work experience with an advanced degree such as a Master's, MBA, or PhD.
Experience in AI product management, including owning a product backlog, writing requirements, and managing prioritization in an agile environment.
Hands-on experience with a range of AI tools and platforms and the ability to use AI to drive innovation, streamline operations, and deliver measurable business impact.
Experience defining and launching AI solutions, including AI agent specifications, intelligent automation, or AI-powered internal tools, from concept through production in partnership with Technology, Data Science, and Data Engineering teams.
Experience managing pilots and proof-of-concept programs, soliciting user feedback, iterating on solutions, and scaling successful pilots into enterprise-wide solutions.
Demonstrated success leading complex, cross-functional programs with measurable business impact in a global, matrixed organization.
Ability to translate complex AI, data, and technology concepts into clear product requirements, executive-level recommendations, and stakeholder communications.
Strong relationship-building skills and excellent written and verbal communication.
Ability to work in fast-paced, matrixed environments and collaborate across regions and business units.
Strong organization, follow-through, and bias toward action.
Ability to balance iterative AI development, shifting requirements, data dependencies, speed, and responsible deployment.

Nice To Haves

At least 15 years of work experience with a Bachelor's degree, or at least 12 years of work experience with an advanced degree such as a Master's, MBA, or PhD.
Familiarity with data architecture, data pipelines, feature stores, and data foundations for AI and machine learning solutions.
Experience with workflow analysis, process redesign, and translating operational inefficiencies into product-led solutions.
Familiarity with payments, banking, fintechs, or card products.
Strong analytical, problem-solving, and strategic thinking skills, including the ability to operate in ambiguity, build structure in white space, and drive action across stakeholders and business units.

Responsibilities

Own and maintain the internal AI product roadmap and use-case backlog, prioritizing opportunities based on business impact, feasibility, and data readiness.
Co-lead workflow reimagination and future-state process design with business stakeholders and subject matter experts, identifying AI-enabled opportunities and defining success criteria.
Write detailed AI solution and agent specifications covering scope, target users, data needs, integration requirements, guardrails, and MVP definitions.
Partner with Data Scientists and Data Engineers to validate data availability, quality, and pipeline requirements.
Translate business needs into product requirements, user stories, and acceptance criteria for Technology teams; manage backlog refinement and grooming.
Serve as business product owner in Technology sprint and build cycles, participating in planning, refinement, demos, and retrospectives, making prioritization decisions, providing feedback, and accepting or rejecting deliverables.
Define and track product success metrics, including adoption, user satisfaction, productivity impact, quality improvements, and business value delivered.
Partner with Legal, Risk, Privacy, Compliance, and Technology teams to support governance, compliance, and responsible AI alignment.
Collaborate with regional teams, Finance, external vendors, and other cross-functional partners on AI product design, development, deployment, measurement, governance, and adoption.