Senior Manager, AI Transformation

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

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 on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross-functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high-quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub-team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time-consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

Responsibilities:

• Lead the design, development, and implementation of agentic AI systems—autonomous agents capable of reasoning, planning, and executing tasks for enterprise workflow automation and productivity enhancement.
• Assist in developing an AI Transformation Roadmap for workflow automation using agentic AI.
• Lead Discovery & Design: map business processes, identify automation opportunities, and define agent capabilities.
• Build proof-of-concept prototypes using LLMs and agent frameworks while incorporating feedback from cross-functional teams.
• Provide technical oversight: review code, guide prompt engineering, and define evaluation benchmarks.
• Support program execution: coordinate sprints, milestones, budgets, and communications with both technical and non-technical stakeholders.
• Oversee integration & deployment of AI agents with enterprise systems via APIs and workflows.
• Ensure solutions meet governance, security, compliance, and ethical AI requirements.
• Establish and track KPIs for productivity gains, system performance, and user adoption.
• Drive organizational adoption of AI tools and processes, applying best practices in AI governance and responsible AI.
• Collaborate with multi-disciplinary teams—including AI engineers, data scientists, UX designers, and operations—to ensure AI solutions meet business needs.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

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.
• 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.
• 8 years of relevant work experience with a bachelors degree or at least 5 years of relevant work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD…