AI FinOps Consultant

Who You’ll Work With You’ll join a consulting team that helps clients manage, optimize, and govern the financial value of cloud, AI, and data investments. You’ll work alongside Fin Ops strategists, cloud architects, data and AI practitioners, finance leaders, engineering teams, product owners, and client executives to help organizations build practical Fin Ops capabilities for AI-enabled environments.

You’ll support clients who are adopting or scaling AI solutions, including generative AI, machine learning platforms, AI-enabled applications, data platforms, and cloud-native services. Your work will help clients improve cost transparency, strengthen accountability, optimize usage, and connect AI investments to measurable business outcomes.

What You’ll Do
* As a Fin Ops for AI Practitioner Consultant, you will help clients apply Fin Ops principles to cloud and AI investments, with a focus on visibility, accountability, optimization, and value realization.
* Assess client cloud, AI, and data cost management practices, identifying maturity gaps, risks, and opportunities.
* Help design and implement Fin Ops operating models, governance processes, reporting structures, and decision frameworks.
* Analyze cloud, AI, and platform consumption patterns to identify cost drivers, optimization opportunities, and value improvement levers.
* Support AI-specific Fin Ops use cases, including model usage tracking, token and inference cost analysis, GPU and accelerator cost management, experimentation controls, chargeback/showback, and AI unit economics.
* Partner with engineering, product, finance, and business stakeholders to connect technical consumption data to business value.
* Develop dashboards, reports, and executive-ready insights that explain cost, usage, performance, and value trends.
* Help clients define KPIs, tagging standards, allocation models, budgets, forecasts, and anomaly management processes.
* Facilitate workshops with client stakeholders to align on Fin Ops practices, roles, responsibilities, and adoption roadmaps.
* Support optimization initiatives across cloud infrastructure, AI platforms, data workloads, vendor services, and usage patterns.
* Translate Fin Ops 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 Fin Ops for AI.
* Stay current with emerging Fin Ops for AI and Tokenomics practices, pricing models, optimization techniques, and the Fin Ops Foundation framework.

What You’ll Bring
* You have 3+ years’ experience supporting Fin Ops, cloud cost management, cloud governance, technology finance, IT financial management, or related consulting work.
* Understanding Fin Ops 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.
* Awareness of AI, machine learning, generative AI, data platforms, and AI-enabled application architectures.
* Strong understanding of AI cost drivers and architecture patterns, including token-based pricing, GPU utilization, inference costs, model hosting, caching, vector databases, Retrieval-Augmented Generation (RAG), Cache-Augmented Generation (CAG), prompt engineering, model routing, and how these choices impact cost, performance, scalability, and business value.
* 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 an understanding of the FOCUS format and its role in normalizing cloud cost and usage data…