Strategic FinOps & Cloud Cost Optimization Leader

FinOps Weekly

New York, Northern (NY, KY)

Hybrid

USD 135,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Healthcare plans

401(k) retirement plan

Paid time off & holidays

Discretionary bonus program

Job summary

Alvarez & Marsal is seeking a FinOps & Cloud Cost Optimization Lead in New York to drive cloud financial management, governance, and cost optimization across AI workloads and large enterprise environments. You will partner with finance, engineering, and operations to deliver measurable cloud cost savings and executive-ready business cases.

The role includes building roadmaps, cost reporting, and training, with travel up to 80%.

Qualifications

:
8–12+ years of experience in cloud cost management and FinOps practice development.
Proven delivery of 15–30% cloud cost savings on prior engagements.
Large-enterprise cloud cost optimization experience at scale.
Experience with cloud cost modeling, optimization, and benchmarking against government and/or commercial comparables, including AI workloads.
Experience implementing FinOps frameworks, including governance, tagging taxonomies, chargeback/show-back models, and KPI frameworks.
Experience with workload rightsizing, auto-scaling, and commitment-based discount strategies such as reserved instances, savings plans, and committed-use agreements.
Experience identifying and remediating orphaned or unused resources, including VM rightsizing, guardrails, and tagging automation.
Experience with native cloud cost tools and third-party FinOps platforms.
Experience with enterprise software licensing consolidation and optimization.
Strong data analytics and visualization skills, with SQL, PowerBI, or equivalent.
AI fluency, with active use of AI tools in delivery.

Responsibilities

Develop cloud financial management strategies, roadmaps, processes, and governance.
Build tagging, budgeting, resource accountability, and chargeback/show-back frameworks.
Drive cost visibility through automated reporting, anomaly detection, and forecasting.
Execute rightsizing, auto-scaling, commitment-based discounts, and unused resource remediation.
Create KPI frameworks and executive ROI / business case models.
Support enterprise software licensing optimization.
Apply FOCUS, native cloud tools, and third-party platforms to FinOps delivery.