FinOps Lead: Cloud Cost Optimization & Dashboards

Capgemini; New York (NY); On-site; USD 106,000 - 199,000; Full time

Benefits offered by this job

Paid time off

Health insurance

401(k) plan

Employee assistance programs

Retirement savings plans

Job summary

Capgemini Invent is seeking a seasoned FinOps professional in New York to lead end-to-end cost management initiatives. You will partner with engineering and finance to deliver forecastable cloud spend and actionable cost optimization across AWS, Azure, and GCP.

Responsibilities include building dashboards, driving cost visibility, and coaching junior team members while ensuring rigorous analytics and clear communication with stakeholders.

Qualifications

• 5-8 years in cloud cost management, IT finance, FP&A, or tech consulting.
• Hands-on with cloud billing tools (AWS/Azure/GCP) and cost-management software.
• Strong analytics with Excel/SQL/Power BI and large datasets.
• Knowledge of cloud pricing, commitment models, and infrastructure services.
• Clear communicator able to explain cost drivers to technical and finance stakeholders.
• Familiarity with FinOps standards and GenAI cost drivers is a plus.

Responsibilities

• Lead FinOps workstreams from cost visibility to forecasting.
• Analyze AWS/Azure/GCP billing data to identify savings opportunities.
• Build cost dashboards and reporting for engineering, finance, and leadership.
• Develop tagging strategies and cost allocation models.
• Optimize spend using Savings Plans, RI pricing, and discounts.
• Translate cost insights into actionable improvements with cross-functional teams.
• Coach junior team members and uphold high analytical quality.

Skills

FinOps

Cloud cost management

AWS Cost Explorer

Azure Cost Management

GCP Billing

Excel

SQL

Power BI

Communication

Tools

Apptio Cloudability

CloudHealth

Flexera

Job description

Capgemini Invent is seeking a seasoned FinOps professional in New York to lead end-to-end cost management initiatives. You will partner with engineering and finance to deliver forecastable cloud spend and actionable cost optimization across AWS, Azure, and GCP.

Responsibilities include building dashboards, driving cost visibility, and coaching junior team members while ensuring rigorous analytics and clear communication with stakeholders.