Own the FinOps data layer: Build and govern CUR/usage pipelines leveraging existing cost platforms, or home built tooling.
Define schemas, SLAs, and FOCUS-aligned datasets; ensure 99%+ allocation coverage via tags/accounts.
Establish showback/chargeback: Refine allocation models, publish monthly bills, resolve disputes, and drive accountability with budget vs. actuals and unit-economics KPIs.
Forecast & plan: Deliver driver-based forecasts (product/BU), scenario models for roadmap changes, and monthly variance analyses for FP&A and engineering leaders.
Optimize at scale: Create automation and playbooks (rightsizing, scheduling, storage tiering, egress patterns), partner with platform engineering team to refine opportunities, land changes, and track verified savings.
Commitment strategy: Lead SP/RI/CUD planning and renewals, target coverage and utilization %, and negotiate commercial terms with vendors/procurement.
Governance & guardrails: Define tagging standards, budgets/alerts, and policy-as-code controls; measure adherence and lead corrective actions.
Anomaly response: Operate spend monitoring, triage spikes, run incident reviews, and prevent recurrences.
Executive reporting: Build concise, role-based dashboards (engineer → exec) and a quarterly narrative of savings, risks, and investments.
Program leadership: Set OKRs, run backlogging and ceremonies, mentor team members, and grow a community of practice aligned to the FinOps Framework (Inform/Optimize/Operate).

Requirements

3 to 5+ years of experience in Cloud FinOps, Cloud Cost Optimization, or Cloud Financial Management, ideally with large-scale AWS environments (Azure or GCP exposure is an asset).
Strong hands-on experience with AWS Cost & Usage Reports (CUR), Cost Explorer, and data pipeline integration for cost tracking and reporting.
Proficient in building and maintaining cost allocation models, implementing tagging strategies, and achieving high allocation coverage across multi-account structures.
Proven experience in showback/chargeback frameworks, budget forecasting, and unit economics reporting for business units or product lines.
Skilled in driver-based forecasting, variance analysis, and collaboration with FP&A and Engineering leadership teams.
Experience developing automation and optimization playbooks (e.g., rightsizing, idle resource scheduling, storage tiering, commitment utilization).
Strong knowledge of commitment management (Savings Plans, Reserved Instances, Committed Use Discounts) and vendor negotiation best practices.
Familiarity with FinOps tools (CloudHealth, CloudCheckr, Apptio Cloudability, or similar) and/or experience building custom analytics dashboards using Power BI, Tableau, or QuickSight.
Competent in SQL, Python, or similar scripting languages for data transformation and cost analytics automation.
Solid understanding of policy-as-code, budget alerting, and governance frameworks for cloud cost control.
Demonstrated ability to lead FinOps governance programs, establish and manage cross-functional collaboration between Finance, Procurement, and Engineering.
Excellent communication skills with the ability to translate complex technical data into executive-ready insights and reports.
Certification(s) such as FinOps Certified Practitioner, AWS Certified Cloud Practitioner.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Cloud FinOpsCloud Cost OptimizationCloud Financial ManagementAWS Cost & Usage ReportsCost Explorerdata pipeline integrationcost allocation modelsdriver-based forecastingSQLPython

Soft skills

communication skillsleadershipcollaborationmentoringanalytical thinkingproblem-solvingaccountabilitynegotiationreportingcommunity building

Certifications

FinOps Certified PractitionerAWS Certified Cloud Practitioner