About this role
About the Role Join a consulting team that helps clients manage, optimize, and govern the financial value of cloud, AI, and data investments. This hybrid role focuses on applying FinOps principles to improve cost transparency, accountability, and business outcomes. What You'll Do
- Help clients apply FinOps principles to cloud and technology investments, with a focus on visibility, accountability, optimization, and value realization.
- Assess client cloud, data, and AI cost management practices, identifying maturity gaps, risks, and opportunities.
- Help design and implement FinOps operating models, governance processes, reporting structures, and decision frameworks.
- Analyze cloud, platform, and AI consumption patterns to identify cost drivers, optimization opportunities, and value improvement levers. Partner with engineering, product, finance, and business stakeholders to connect technical consumption data to business value.
- Help clients define KPIs, tagging standards, allocation models, budgets, forecasts, and anomaly management processes.
- Develop dashboards, reports, and executive-ready insights that explain cost, usage, performance, and value trends.
- Facilitate workshops with client stakeholders to align on FinOps practices, roles, responsibilities, and adoption roadmaps.
- Support optimization initiatives across cloud infrastructure, AI platforms, data workloads, vendor services, and usage patterns.
- Translate FinOps Foundation frameworks and best practices into practical recommendations tailored to each client's environment.
- Contribute to consulting offerings, reusable assets, playbooks, accelerators, and thought leadership related to FinOps.
- Acts as mentor to other practitioners, working to better serve our GTM and account teams.
- Participate in proposal solutioning and client outcome based selling motions.
- Participates in Campaigns, RFIs, RFPs, workshops and POCs to ignite specific opportunities.
- Stay current with emerging FinOps for AI and tokenomics practices, pricing models, optimization techniques, and the FinOps Foundation framework.
- Proactively seeking out speaking opportunities as thought leader at external conferences and events to generate net-new opportunities. What We're Looking For
- 5+ years' experience leading FinOps and cloud cost management, supporting cloud governance, technology finance, IT financial management, or related consulting work.
- Understanding FinOps principles, including cost visibility, allocation, budgeting, forecasting, optimization, accountability, and value management.
- Familiarity with public cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
- Ability to analyze usage, cost, and performance data to identify trends, risks, and opportunities.
- Knowledge of cloud billing, cost allocation, and usage data structures, including experience working with the FOCUS format to normalize, analyze, and report on multi-cloud or multi-platform spend.
- Experience designing showback, chargeback, unit cost, or cost allocation models.
- Ability to work with normalized cost and usage datasets to support reporting, allocation, unit economics, forecasting, and optimization analysis.
- Experience working with engineering teams on optimization efforts such as rightsizing, reserved capacity, savings plans, workload scheduling, storage optimization, model efficiency, or platform governance.
- Strong communication skills, with the ability to explain technical and financial concepts to executive, finance, engineering, and product audiences.
- Experience creating client-facing deliverables such as assessments, roadmaps, business cases, dashboards, executive summaries, and operating model recommendations.
- Comfort facilitating stakeholder conversations, workshops, and working sessions.
- Ability to work in ambiguous environments and structure complex problems into clear recommendations.
- A practical, outcome-oriented mindset focused on helping clients improve financial accountability and business value from technology investments.
- Active FinOps Certified Practitioner certification or ability to achieve certifications upon hire. Nice to Have
- FinOps Foundation certification, especially: FinOps Certified AI Value; FinOps Certified Professional.
- Experience mapping native billing exports from AWS, Azure, Google Cloud, SaaS platforms, AI platforms, or third-party FinOps tools into standardized cost and usage models.
- Experience with cloud cost management tools or native billing platforms, such as AWS Cost Explorer, AWS CUR, Azure Cost Management, Google Cloud Billing, CloudHealth, Apptio Cloudability, Flexera, Harness, or similar platforms.
- Experience developing FinOps dashboards using Power BI, Tableau, Looker, Excel, or cloud-native reporting tools.
- Consulting experience in cloud transformation, data and AI strategy, platform modernization, technology operating models, or enterprise cost optimization.
- Experience helping organizations establish FinOps teams, governance forums, policies, standards, and adoption roadmaps.
- Experience with AI or GenAI cost management, including token consumption, model selection, inference costs, GPU utilization, prompt/application cost attribution, or AI value tracking.