Senior AI Financial Operations Analyst
Company websitevizient.com (Vizient, opens in new tab)
Base salary $102,400 to $179,000
Employer-published annual base salary, USD. Advertised base range in Irving, TX +3 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationIrving, TX +3 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All places named
- Irving, TX
- Chicago, IL
- TX 75062 Vizient Corporate HQ
- IL 60607
About this job
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary
In this role, you will lead the financial governance, operational visibility, and consumption optimization of Vizient’s enterprise AI platforms and generative AI services. You will serve as a key partner in establishing AI FinOps capabilities that enable responsible, scalable, and cost-effective adoption of artificial intelligence technologies across the organization.
Reporting to technology leadership, you will drive AI financial management practices across cloud AI services, agentic platforms, token-based consumption models, GPU infrastructure, and AI developer tooling. This role requires a blend of financial acumen, technical understanding, and strategic partnership, with the ability to translate complex AI consumption patterns into actionable insights that optimize cost, improve operational efficiency, and maximize business value.
Responsibilities
- Lead AI financial operations across enterprise AI platforms, monitoring and managing cloud-based AI spend across services such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI, and other emerging AI technologies.
- Track, analyze, and optimize AI consumption metrics including token utilization, inference costs, GPU usage, model hosting expenses, vector database consumption, embeddings, and AI agent execution patterns.
- Develop forecasting models and financial planning processes to support AI platform growth, capacity management, and long-term investment strategies.
- Establish and maintain AI showback and chargeback methodologies that provide transparency into AI consumption and business value realization.
- Define and implement governance standards, financial guardrails, and operational controls to ensure responsible and cost-effective AI adoption across the enterprise.
- Partner closely with Security, Risk, Legal, Architecture, Cloud Infrastructure, Data & Analytics, and AI Engineering teams to align AI governance practices with organizational policies and strategic objectives.
- Provide visibility into enterprise AI tooling adoption, including developer productivity tools, generative AI platforms, and AI orchestration solutions, while identifying and mitigating unsanctioned or shadow AI usage.
- Collaborate with engineering teams to optimize AI workloads through improvements in prompt efficiency, token utilization, model selection strategies, inference routing, caching approaches, batching techniques, and GPU resource allocation.
- Evaluate hosted and self-managed AI infrastructure options, providing cost optimization recommendations and economic analysis for AI architectures and agent-based frameworks.
- Develop executive dashboards, reporting, and analytics that communicate AI consumption trends, financial performance, operational efficiency, and return on investment.
- Establish AI unit economics and performance metrics, tracking costs and value realization across use cases, workflows, business capabilities, and enterprise initiatives.
- Present financial insights, optimization opportunities, and strategic recommendations to executive leadership and key stakeholders.
- Support enterprise AI investment planning, governance programs, and the development of scalable AI operating models and financial management capabilities.
- Champion continuous improvement by leveraging data-driven insights to enhance AI financial governance, reporting processes, and operational effectiveness.
Qualifications
- Bachelor’s degree in Finance, Accounting, Information Technology, Computer Science, Data Analytics, Business, or a related field preferred.
- Minimum of 5 or more years of experience in Cloud FinOps, AI Infrastructure, Cloud Operations, Data Platforms, Technology Finance, or a related discipline.
- Experience working with public cloud AI services, generative AI platforms, and cloud-based consumption models.
- Strong understanding of AI pricing and consumption structures, including token-based, inference-based, and GPU-based cost models.
- Experience analyzing cloud financial data, operational telemetry, utilization trends, and technology spending patterns.
- Demonstrated ability to build forecasting models, perform financial analysis, and develop executive-level reporting and dashboards.
- Strong analytical and problem-solving skills with the ability to identify optimization opportunities and quantify business impact.
- Experience collaborating with engineering, architecture, infrastructure, and business stakeholders to drive technology optimization initiatives.
- Excellent communication and presentation skills with the ability to translate complex technical and financial concepts for executive audiences.
- Experience with Azure OpenAI, OpenAI Enterprise, AWS Bedrock, Google Vertex AI, Azure AI Foundry, or similar AI platforms preferred.
- Experience utilizing Cloudability, Azure Cost Management, Datadog, Power BI, or comparable analytics and financial management tools preferred.
- Familiarity with AI agent architectures, orchestration frameworks, and emerging AI operational technologies preferred.
- FinOps Foundation certification, cloud platform certifications, or related professional credentials preferred.
- Experience managing GPU infrastructure or optimizing AI workloads for performance and cost efficiency preferred.
- Understanding of AI governance frameworks, responsible AI practices, and enterprise risk management considerations preferred.
- Strong knowledge of cloud economics, technology financial management, and AI operational best practices.
- Ability to influence cross-functional teams and drive alignment across diverse stakeholder groups while balancing innovation, governance, and financial accountability.
#LIJB1
Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.
Source: Vizient on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($102,400) is above 3% of the 101 Business Operations roles in Texas listed on this site; 1 other lists the same floor. Their median floor is $135,000; the middle half runs from $120,000 to $153,600.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSenior AI Financial Operations Analyst$102,400 to $179,000
Sr Software Engineer - Sitecore Developer$102,400 to $179,000
Lead Hybrid Product Advisor$102,400 to $179,000
Senior Full-Stack Software Engineer$102,400 to $179,000
Senior DevOps and Reliability Engineer$102,400 to $179,000
Senior Stardog Database Administrator$102,400 to $179,000
Category Management Director - Facilities/EVS/Support Services$102,400 to $179,000
Chart as a table
| Role | Published base |
|---|---|
| Senior AI Financial Operations Analyst (this listing) | $102,400 - $179,000 |
| Sr Software Engineer - Sitecore Developer | $102,400 - $179,000 |
| Lead Hybrid Product Advisor | $102,400 - $179,000 |
| Senior Full-Stack Software Engineer | $102,400 - $179,000 |
| Senior DevOps and Reliability Engineer | $102,400 - $179,000 |
| Senior Stardog Database Administrator | $102,400 - $179,000 |
| Category Management Director - Facilities/EVS/Support Services | $102,400 - $179,000 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Absent from the employer's board; confirmation pending
- Closure observed on Oct 28, 2026
- Reappeared on the employer's board
- Observed since
- Employer-stated posting date
- 2026-06-24
Where this pay comes from
Location as the employer wrote it: Irving, TX 75062 Vizient Corporate HQ • Chicago, IL 60607
timate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
