Cloud FinOps Lead - Cost Optimization & AI Governance

VISA

Austin (TX)

On-site

USD 127,000 - 204,000

Full time

14 days+

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Job summary

Visa seeks a Senior Business Planning Manager to lead Cloud FinOps. You will oversee cloud costs across multiple entities, implement optimization strategies and define AI governance with a focus on cost efficiency and strategic alignment.

You will partner with engineering, architecture and finance to drive budgets, track usage, and report on key drivers across AWS, GCP, Azure, and related tools in a complex enterprise environment.

Qualifications

  • 8+ years of relevant work experience with a Bachelor's degree or 5+ years with an Advanced Degree.
  • Alternatively 2 years of work experience with a PhD.
  • Experience in financial analysis, cloud cost management and budgeting.

Responsibilities

  • Lead Cloud FinOps demand management and cloud cost optimization initiatives.
  • Develop cloud consumption views, growth forecasts and budgets.
  • Analyze cloud usage trends and provide actionable cost reduction recommendations.
  • Strategize right-sizing of compute, storage, and other services.
  • Maintain cost transparency, dashboards and KPI reporting for leadership.
  • Negotiate vendor terms and monitor contract alignment with strategy.
  • Collaborate with engineering, architecture and finance teams across entities.

Skills

Cloud FinOps
Cost optimization
Cloud cost management
Data analytics
Excel
PowerPoint
SQL
Vendor negotiation
Budgeting
Stakeholder management

Education

Bachelor's degree
Advanced degree preferred

Tools

AWS/Azure/GCP
Databricks
Excel
Power BI
Microsoft Office
SQL tooling

Job description

Visa seeks a Senior Business Planning Manager to lead Cloud FinOps. You will oversee cloud costs across multiple entities, implement optimization strategies and define AI governance with a focus on cost efficiency and strategic alignment.

You will partner with engineering, architecture and finance to drive budgets, track usage, and report on key drivers across AWS, GCP, Azure, and related tools in a complex enterprise environment.

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