FinOps & Cloud Cost Leader: AI‑Driven Savings

Alvarez & Marsal; Chicago (IL); On-site; USD 135,000 - 210,000; Full time

Benefits offered by this job

Healthcare plans

401(k) retirement savings

Paid time off

Job summary

Alvarez & Marsal is seeking a Senior FinOps leader to bridge finance, engineering, and operations, aligning cloud investments with maximum business value. You will shape cost governance, roadmaps, and KPI frameworks while driving automation and transparency in cloud spend across mission partners.

The role emphasizes AI-assisted cost analytics, high-discipline cost optimization, and the ability to deliver substantial savings while guiding engagements across multiple environments.

Qualifications

• 8-12+ years of professional experience in cloud cost management and FinOps practice development.
• FinOps Practitioner or FinOps Engineer certification strongly preferred.
• Demonstrated 15–30% cloud cost savings delivery on prior engagements.
• Strong data analytics and visualization skills with SQL/PowerBI.
• Federal FinOps experience helpful but not required; cost optimization at scale is primary.

Responsibilities

• Develop and execute comprehensive FinOps strategies aligned with business goals.
• Create FinOps roadmaps embedding cost-conscious practices into engineering lifecycles.
• Design KPI frameworks with targets and accountability for FinOps delivery.
• Establish governance for tagging, budgeting, and resource accountability.

Skills

Cloud cost modeling

FinOps governance

AI fluency

Cost optimization strategy

Data analytics

Education

Bachelor's degree (Finance, CS, MIS preferred)

Tools

AWS Cost Explorer

Azure Cost Management

GCP Billing

Apptio

PowerBI

SQL

Job description

Alvarez & Marsal is seeking a Senior FinOps leader to bridge finance, engineering, and operations, aligning cloud investments with maximum business value. You will shape cost governance, roadmaps, and KPI frameworks while driving automation and transparency in cloud spend across mission partners.

The role emphasizes AI-assisted cost analytics, high-discipline cost optimization, and the ability to deliver substantial savings while guiding engagements across multiple environments.