Product Analyst

Visa

Bengaluru

On-site

INR 1,800,000 - 2,400,000

Full time

5 days ago
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Job summary

Visa is seeking an AI Platform Product professional to lead end‑to‑end development of scalable AI/ML platform capabilities. You will partner with Engineering, Data Science, MLOps, and Governance teams to deliver secure, enterprise‑grade solutions across cloud environments.

The role emphasizes translating complex platform needs into actionable features, managing roadmaps, and validating adoption post‑release. A focus on SDLC, Agile delivery, and strong stakeholder management is required.

Qualifications

  • 2+ years in Product Management or Technical Product Management, preferably AI/ML platform focus.
  • Experience with AI/ML platforms on major cloud providers (AWS/Azure/GCP).
  • Hands-on prototyping of Generative AI using Python.
  • Strong analytical, problem-solving and stakeholder management skills.
  • Familiarity with SDLC, Agile delivery, and Scrum-based teams.

Responsibilities

  • Drive product requirements for AI platform capabilities with engineering and data science teams.
  • Contribute to roadmap across data platforms, AI lifecycle management, GenAI enablement, and tooling.
  • Translate business and platform needs into features, user stories, and acceptance criteria.
  • Use platform metrics to inform decisions and drive improvements.
  • Own end-to-end delivery from requirements through release and post-launch validation.

Skills

Product Management
AI/ML platforms
Agile / Scrum
Stakeholder management

Education

Bachelor's Degree
Advanced Degree

Tools

AWS
Azure
GCP
Databricks
Python

Job description

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
Job Summary

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.

Key Responsibilities
  • Drive and support product requirements for AI platform capabilities, partnering closely with engineering and data science teams.
  • Contribute to roadmap execution across data platforms, AI/ML lifecycle management, Generative AI enablement, developer tooling, and observability.
  • Translate business, data science, and platform needs into well‑defined features, user stories, requirements, and acceptance criteria.
  • Leverage platform metrics and data insights to inform product decisions, identify gaps, and drive continuous improvement.
  • Collaborate effectively with Product, Engineering, Data Science, MLOps, Infrastructure, and Governance teams within an agile environment to accelerate delivery and time‑to‑market.
  • Conduct product acceptance validation prior to release and support successful adoption by user and stakeholder teams.
  • Apply hands‑on technical expertise to design and develop AI/ML and Generative AI prototypes that can scale into production‑ready platform capabilities.
  • Remain flexible and adaptable, supporting multiple product initiatives and evolving platform priorities.
  • Understand large‑scale data processing across cloud and on‑premises environments and incorporate these considerations when defining requirements and trade‑offs.
  • Own end‑to‑end delivery of assigned platform initiatives, from requirements definition through release and post‑launch validation.
  • Create and maintain product documentation, including requirements, release notes, FAQs, and runbooks, to support stakeholders and enable platform adoption.

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 work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
Preferred Qualifications
  • 2+ years of experience in Product Management or Technical Product Management, preferably focused on AI/ML platforms, data platforms, or data-driven products.
  • Strong understanding of AI/ML and Generative AI technologies, including: AI platforms, feature platforms, and model lifecycle workflows.
  • Large Language Models (LLMs), evaluation frameworks, and agentic AI systems.
  • Experience working with AI/ML platforms on major cloud providers, including AWS, Azure, GCP, or Databricks.
  • Hands‑on experience building Generative AI prototypes using APIs and programming languages such as Python.
  • Experience leveraging industry‑leading GenAI technologies (e.g., OpenAI, Anthropic) for proof‑of‑concepts and production solutions.
  • Solid understanding of data architecture and large‑scale data processing across cloud and on‑premises environments.
  • Experience launching and supporting technical products within complex, matrixed organizations.
  • Exposure to payments, fraud, risk management, decisioning systems, or risk technology platforms is highly desirable.
  • Strong analytical, problem‑solving, communication, and stakeholder management skills.
  • Proficiency with software development lifecycle methodologies, version control practices, Agile delivery models, and Scrum‑based development teams.
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

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