AI FinOps, Cost & Contracts Analyst

Toyota Tsusho Europe

. Develop and manage AI FinOps processes, including total cost of ownership (TCO), cost-to-value analysis, forecasting, budgeting, and financial planning for AI services.

Posted 10/31/2026contractPlano • Texas • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Financial Operations (FinOps) and financial planning for AI services, with a strong focus on cost optimization, governance, and stakeholder communication. Proficient in developing financial models and dashboards that connect AI consumption to business outcomes.

Highest-signal resume keywords

Financial Operations (FinOps)AI EconomicsCost Recovery ModelsFinancial ReportingAdvanced Excel

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Financial Planning and Analysis (FP&A)Cost OptimizationTotal Cost of Ownership (TCO)ROI AnalysisBusiness Case DevelopmentVendor NegotiationsAI Usage MetricsToken-Based PricingCloud Cost ManagementBillback Models

Soft Skills

Excellent CommunicationStakeholder ManagementAnalytical Skills

Tools & Technologies

Power BIMicrosoft Fabric

Industry Keywords

Financial GovernanceAI ServicesCloud InfrastructureEnterprise Software ContractsLicensing Agreements

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Develop and manage AI FinOps processes, including total cost of ownership (TCO), cost-to-value analysis, forecasting, budgeting, and financial planning for AI services.
Design and administer showback, chargeback, and cost recovery models based on AI usage, token consumption, compute utilization, and business value.
Analyze AI platform costs across cloud infrastructure, foundation models, licensing, APIs, and enterprise AI platforms to identify optimization opportunities.
Partner with procurement, finance, legal, and technology teams to evaluate vendor contracts, pricing structures, renewals, and licensing strategies for AI solutions.
Build financial dashboards and executive reporting covering AI spend, utilization, adoption, unit economics, and ROI.
Develop financial models connecting AI consumption, operational costs, and business outcomes to support investment decisions and value realization.
Establish governance, financial controls, and reporting processes to ensure efficient and responsible AI spending.

Requirements

What you’ll need

Bachelor's degree in Finance, Accounting, Business Administration, Economics, Information Systems, Computer Science, Data Analytics, or a related field.
5+ years of experience in Financial Operations (FinOps), financial planning and analysis (FP&A), technology finance, procurement, or cloud cost management.
Strong understanding of AI economics, including token-based pricing, inference costs, cloud consumption, API pricing, model licensing, and AI usage metrics.
Experience designing and implementing showback, chargeback, billback, cost allocation, and cost recovery models.
Knowledge of total cost of ownership (TCO), unit economics, cost optimization, ROI analysis, and business case development for technology investments.
Experience analyzing enterprise software contracts, licensing agreements, vendor negotiations, and financial governance.
Strong analytical skills with advanced Excel and experience using BI tools such as Power BI or Microsoft Fabric for financial reporting and executive dashboards.
Excellent communication and stakeholder management skills with the ability to present financial insights and recommendations to executive leadership.
Standard business hours.
Limited travel expected.