AI FinOps Analyst: Cloud Cost & Value Realization

QUICK USA

Plano (TX)

Hybrid

USD 110,208 - 123,984

Full time

14 days+

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Benefits offered by this job

Hybrid work arrangement

Contract position (DOE)

Job summary

QUICK USA is seeking a seasoned FinOps Analyst to drive cloud cost management and AI-related financial governance from Plano, TX. You will lead budgeting, forecasting, and cost optimization initiatives for enterprise AI initiatives.

Ideal candidates bring 5+ years in FinOps/FP&A, strong Excel skills, and experience with BI dashboards like Power BI or Microsoft Fabric. This contract role offers hybrid work from Plano with potential travel.

Qualifications

Bachelor's degree in Finance, Accounting, Business Administration, Economics, Information Systems, Computer Science, Data Analytics, or related field.
5+ years in Financial Operations (FinOps), FP&A, technology finance, procurement, or cloud cost management.
Strong understanding of AI economics including token-based pricing, inference costs, cloud consumption, API pricing, and AI usage metrics.
Experience designing and implementing showback, chargeback, billback, cost allocation, and cost recovery models.
Knowledge of TCO, unit economics, cost optimization, ROI analysis, and business case development for tech investments.
Experience analyzing enterprise software contracts, licensing, vendor negotiations, and financial governance.
Strong analytical skills with advanced Excel and BI tools for financial reporting and dashboards.
Excellent communication and stakeholder management for presenting insights to executives.

Responsibilities

Develop and manage AI FinOps processes including 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 that provide transparency into AI spend, utilization, adoption, unit economics, and ROI.
Develop financial models that connect 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.