Analyst - Cloud FinOps

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

Cloud FinOps analyst will be leading the cloud cost management across 10 different entities (including Visa) and any additional M&A entities. They will help with identifying and implementing different cost optimization opportunities across entire footprint and resource utilization tracking for various cloud services. Key stakeholders include all M&A Entities Engineering & Finance teams, Visa engineering, architecture, and finance teams for implementation of optimizations and executives for alignment on cloud & AI strategy and governance. They will help in defining AI governance (AI usage, cost tracking, efficiency analysis, monthly and daily reporting of costs and drivers).

Job Description:

We are seeking an experienced Cloud FinOps Analyst to join our dynamic team. You will be responsible for leading and implementing cloud & AI cost management and optimization strategies. Your primary focus will be on ensuring efficient cloud resource utilization, cost tracking, and identifying opportunities for cost savings within our cloud infrastructure, measuring & understanding AI usage across the organization. You will have knowledge of multiple cloud service providers (AWS, GCP, Azure, Oracle Cloud, AI tools and LLM providers etc.) and work with various technology teams to monitor and optimize resources on each platform.

Responsibilities:

• Cost Analysis: Analyze cloud usage and cost trends, identify cost drivers, and provide actionable recommendations for cost optimization.

• Optimization strategies: Develop and implement strategies for optimizing cloud resources, including right-sizing of compute, storage, database, and other services, utilizing cost-effective services.