FinOps & Cloud Cost Optimization Lead

Experience Should Include

Cloud cost modeling, optimization, and benchmarking (government and/or commercial comparables) including AI workloads.

FinOps framework implementation – governance, tagging taxonomy, chargeback/show-back models, KPI frameworks

FinOps Open Cost and Usage Specification (FOCUS)

Workload rightsizing, auto-scaling, and commitment-based discount strategy (reserved instances, savings plans, committed-use agreements)

Orphaned/unused resource identification and remediation – VM rightsizing, guardrails, tagging automation

Native cloud cost management tools (AWS Cost Explorer, Azure Cost Management, GCP Billing) and third-party FinOps platforms (Apptio, Flexera, Cloud Health)

Enterprise software licensing consolidation and optimization

AI-assisted cost anomaly detection, forecasting, and optimization recommendation engines – must demonstrate active use of AI tools in delivery; AI fluency is required for this role

How you will contribute

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%

Full-time, contract, and project-based engagements available