Manager, AI Project Management - Global Marketing Services

Visa•San Francisco, CA

5d•$136,000 - $217,000•Hybrid

About The Position

Visa is seeking a Manager, AI Project Management for Global Marketing Services to drive program management across its AI Transformation program. The role manages four concurrent workstreams—Workflow Redesign, Agent Deployment, Data Foundations, and Change Management—and ensures commitments are delivered on time and at scale. It requires understanding the iterative, experiment-driven nature of AI development and the data dependencies, evolving requirements, and responsible-AI considerations that distinguish AI initiatives from traditional technology projects. The Manager owns the program’s operating rhythm, including timelines, milestones, dependencies, the master program plan, RAID log, status reporting, standups, and milestone reviews. The role also oversees the build-out of the Marketing Services operational knowledge base, coordinating content inventory and collection, consistent metadata tagging and taxonomy, and preparation of the repository for AI use. The Manager works with workstream leads, Visa Technology, regional Marketing Services teams, subject matter experts, and partners in Finance, Legal, Privacy, Risk, and Compliance. The position reports to the Director, AI Product Management, Global Marketing Services. This hybrid position is based at Visa’s San Francisco Mission Rock office. Employees are expected to work from the office two to three set days per week, with at least three days required according to the job description’s office-attendance statement. Travel is required 5–10% of the time. Work hours vary according to department needs. The position is performed in an office setting and involves sitting and standing at a desk, communicating in person and by telephone, and frequently using standard office equipment. Visa is not offering relocation assistance.

Requirements

At least 8 years of work experience with a Bachelor's degree, or at least 6 years with an advanced degree such as a Master's, MBA, or PhD.
Experience in program management, project management, or management consulting, including management of complex programs with multiple concurrent workstreams, dependencies, and cross-functional stakeholders.
Familiarity with AI projects and their requirements, including data readiness, experimentation cycles, and responsible AI considerations.
Understanding of how LLM-based solutions are built, including familiarity with the generative AI technology stack, prompt engineering, and data and infrastructure requirements for AI agent development.
Hands-on experience with AI productivity tools such as Claude, ChatGPT, or similar platforms, and ability to apply them to streamline program management workflows.
Experience with RAID management, milestone tracking, critical-path analysis, status reporting, and delivery-risk escalation.
Experience with program and project management tools such as Wrike, Jira Align, MS Project, or similar.
Experience with agile methodologies, specifically Scrum and Kanban.
Demonstrated success driving complex, cross-functional programs with measurable business impact in a global, matrixed organization.
Practical familiarity with content-structuring concepts such as metadata tagging, taxonomy design, and preparing content for AI ingestion, with the ability to partner effectively with data experts.
Strong ability to translate complex program status, AI project dynamics, and delivery risks into clear executive communications and stakeholder updates.
Strong relationship-building skills and excellent written and verbal communication; ability to communicate compelling messages to senior-level executives.
Strong organization, quick follow-through, and a bias toward action; comfort in fast-paced, matrixed environments and collaborating across regions and business units.
Ability to combine strategic thinking with hands-on execution and operate amid iterative development, shifting requirements, data dependencies, and the need to balance speed with responsible deployment.

Nice To Haves

At least 10 years of work experience with a Bachelor's degree, or at least 7 years with an advanced degree such as a Master's, MBA, or PhD.
Demonstrated hands-on experience with a range of AI tools and platforms and ability to use AI to streamline operations and deliver measurable business impact.
PMP, PgMP, or similar program management certification.
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.
Familiarity with payments, banking, fintech, or card products.

Responsibilities

Own timeline, milestone, and dependency tracking across all AI Transformation workstreams; maintain the master program plan, identify critical-path items, and flag scheduling conflicts or resource constraints.
Drive the program operating rhythm, including standups and milestone reviews, and support the Senior Director with steering committee preparation and stakeholder management.
Own and maintain the program RAID log; identify risks early, ensure mitigation plans are in place, and escalate issues to appropriate stakeholders.
Proactively flag AI-specific risks, including data-readiness delays, cross-workstream dependencies, and adoption blockers.
Produce status reports, dashboards, and executive updates on program health, milestone progress, and delivery risks.
Coordinate across workstreams to maintain alignment and resolve blockers.
Oversee the build-out of the Marketing Services operational knowledge base, including content inventory and collection, consistent metadata tagging and taxonomy, and preparation of the repository for AI use.
Coordinate with subject matter experts to source knowledge-base content, track gaps, and obtain sign-off.
Identify and manage interdependencies between workstreams so upstream deliverables arrive on time to unblock downstream work.
Facilitate trade-off decisions when competing priorities arise.
Partner with Legal, Risk, Privacy, Compliance, and Technology teams to ensure AI-enabled offerings and pilots meet responsible AI, governance, regulatory, and Visa standards.