Product Analyst at Visa in IN - Bengaluru, India

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.

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.

Requirements

• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
• 2+ years of experience in Product Management or Technical Product Management, preferably focused on AI/ML platforms, data platforms, or data-driven products.
• 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.

Skills

Required

• AI/ML platforms
• data-driven product development
• GenAI prototyping
• product requirements
• roadmap execution
• data insights
• agile environment
• product acceptance validation
• technical expertise
• large-scale data processing
• cloud and on-premises environments
• product documentation

Preferred

• AI/ML and Generative AI technologies
• data architecture