FinOps & Cloud Cost Optimization Lead, Digital & Technology Services

About the role

The Corporate Performance Improvement practice at Alvarez & Marsal (A&M) is seeking a FinOps leader to bridge finance, engineering, and operations to align cloud investments with maximum business value.

Responsibilities

• Develop and execute comprehensive FinOps strategies aligned with business and mission goals, detailing frameworks, processes, and governance
• Create and maintain FinOps roadmaps embedding cost-conscious practices into engineering and architecture lifecycles
• Design KPI frameworks with clear targets and accountability mechanisms to monitor FinOps delivery
• Establish governance frameworks for tagging, budgeting, and resource accountability - including guardrails to prevent unnecessary resource allocation
• Drive automation and transparency in cost reporting, anomaly detection, and forecasting - providing real-time visibility into cloud spend across mission partners
• Build ROI models and cost reduction business cases that quantify optimization impact for executive audiences
• Integrate findings into A&M's broader engagement scope and deliverables
• Support practice development through internal training, content creation, and people development

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 - experience with SQL, PowerBI, or equivalent
• Federal FinOps experience helpful but not required - demonstrated cost optimization at scale in any large enterprise is the primary qualifier
• Bachelor's degree required; Finance, Computer Science, or MIS preferred
• Comfortable with travel up to 80%

What Distinguishes a Great Candidate

• Has built FinOps practices from scratch in large enterprises - not just reported on costs
• Can do rate negotiation strategy
• Understands both the financial and engineering levers of cloud cost optimization
• Brings AI-powered cost analytics and forecasting as standard practice, not as an add-on