AI Automation Analyst

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.

Job Description

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’s 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.

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

Relocation assistance is not provided for this role.

Responsibilities

As an AI Automation Analyst, you will design, develop, and deploy agentic AI workflows that optimize operations, automate processes, and generate measurable business value across the enterprise. You will leverage strong business acumen to translate complex operational challenges into practical AI solutions and communicate insights effectively to both technical and non‑technical stakeholders. Collaborating closely with Centers of Excellence and enterprise transformation programs, you will drive adoption of AI initiatives across multiple business units, while quantifying and clearly articulating the ROI of automation efforts to demonstrate business impact.

• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.

• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.

• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.

• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.

• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.

• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.

• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.

• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.

• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.

Qualifications

Basic Qualifications:

• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

•…