Product Analyst - AIML Platform

• *About Us**

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

• *Job Description**

The AI Platform Product team is building a scalable, enterprise‑grade platforms that enables teams across the organization to develop, deploy, operate, and govern AI/ML solutions at global scale. The team focuses on providing reliable, secure, and reusable platform capabilities that support the full AI/ML lifecycle \- from data and feature enablement to model training, deployment, monitoring, and optimization.

The team partners closely with engineering, data science, product, and business teams to ensure AI capabilities can be delivered efficiently and responsibly across multiple use cases, including fraud, risk, authorization, and ecosystem protection.

We are seeking a hands‑on Product Analyst with experience across AI/ML platforms, data‑driven product development, and GenAI prototyping. This role is ideal for someone who is technically grounded, product‑oriented, and adaptable, and can work across multiple problem spaces as priorities evolve.

Key Responsibilities

• Drive and support product requirements for AIP platform capabilities, working hands‑on with engineering and data science teams.
• Contribute to roadmap execution across data platforms, AI/ML lifecycle, GenAI enablement, tooling, and observability.
• Translate business, data science, and platform needs into clear user stories, requirements, and acceptance criteria.
• Lead the product requirements for platform capabilities, working hands‑on with engineering and data science teams. Translate business, data science, and platform requirements into clear Features, user stories, and acceptance criteria.
• Use data and platform metrics to inform product decisions, identify gaps, and support continuous improvement.
• Collaborate effectively across product, engineering, data science, MLOps, infrastructure, and governance teams in an agile environment for faster time to market
• Conduct product acceptance evaluations before launching it to the user teams and support adoption of capabilities.
• Apply hands‑on coding skills to design and build AI/ML and Generative AI prototypes that can be evolved and deployed on scalable platform architectures.
• Collaborate effectively across product, engineering, data science, MLOps, infrastructure, and governance teams in an agile environment.
• Remain flexible and adaptable, supporting multiple product areas and priorities as the platform evolves.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.**Qualifications**

Basic Qualifications

2 or more years of relevant work experience with a Bachelor’s degree or at least 1 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)

Preferred Qualifications

2\+ years of hands‑on experience in product management or technical product roles, ideally focused on AI/ML platforms or data‑driven products.

Strong exposure to AI/ML and Generative AI, with experience across

AI platforms, feature platforms and model workflows

Large Language Models (LLMs), evaluations, and agentic systems

Experienced on AIML platform on leading public cloud, AWS, Azure, GCP,Databricks

Hands‑on experience with GenAI prototyping, including use of APIs and basic coding (e.g., Python) to build proofs of concept or demonstrations

Experience with applied GenAI (e.g., OpenAI, Anthropic) for prototypes and production.

Solid understanding of data concepts and data processing at scale, across cloud and on‑prem environments.

Experience launching or supporting products in a highly technical, matrixed organization.

Exposure to the payments industry or applied AI/ML use cases (fraud, risk, decisioning) or risk technology platform is a strong plus.

Strong problem‑solving, communication, and collaboration skills.

Proficiency with software development methodologies such as Agile and experience working with Scrum teams and matrixed organizations.

• *Visa is an EEO Employer**

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.