Vizient Logo

Vizient

Senior AI Financial Operations Analyst

Posted 13 Days Ago
In-Office
60607, Chicago, IL, USA
102K-179K Annually
Senior level
In-Office
60607, Chicago, IL, USA
102K-179K Annually
Senior level
Lead AI FinOps for enterprise AI platforms by managing cloud AI spend, optimizing token/GPU/inference costs, building forecasting and chargeback models, defining governance and financial guardrails, partnering with cross-functional teams, and delivering executive reporting to drive cost-effective, responsible AI adoption.
The summary above was generated by AI

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.

Vizient Chicago, Illinois, USA Office

Chicago, United States

Vizient Skokie, Illinois, USA Office

Skokie, United States

Similar Jobs

36 Minutes Ago
Hybrid
208K-281K Annually
Senior level
208K-281K Annually
Senior level
Artificial Intelligence • Internet of Things • Semiconductor
Lead product strategy and lifecycle for Physical IP and CPU products targeting Edge AI. Define roadmaps, translate market and customer insights into engineering requirements, drive competitive positioning, and engage Tier 1 customers to secure design wins. Collaborate cross-functionally with engineering, sales, marketing, and executives to influence CPU roadmap, deliver commercial cases, and ensure customer success.
Top Skills: AmbaArm ArchitectureCache CoherencyCpu ArchitecturesEdge Ai Software EcosystemsPhysical Implementation MethodologiesPhysical IpSemiconductor Design FlowsSoc DesignSystem Interconnects
37 Minutes Ago
Hybrid
Junior
Junior
Insurance • Financial Services
Capture, edit, and deliver photography assets (headshots, events, executive moments) to support Globe Life brand and social media. Plan and execute shoots, coordinate with digital media creators, upload and curate images for corporate and field use, mentor teammates, and manage projects from planning through delivery while adhering to brand guidelines.
Top Skills: Adobe IllustratorAdobe IndesignAdobe LightroomAdobe PhotoshopCamerasLightingExcelMicrosoft PowerpointMicrosoft WordPhoto Editing Software
39 Minutes Ago
Hybrid
Senior level
Senior level
Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
Design, implement, and operate identity and access management solutions (Okta, Entra ID, AD, Google Workspace). Manage SSO, MFA, federation, conditional access, lifecycle workflows, PAM, and integrations with HR and SaaS. Automate identity operations, support audits and access reviews, troubleshoot authentication/authorization issues, monitor identity systems, and partner with stakeholders to onboard applications and ensure least-privilege access.
Top Skills: Active DirectoryAWSBashConditional AccessGCPGoogle WorkspaceHrisIdentity GovernanceMfaMicrosoft Entra IdOauthOktaOpenid ConnectPamPrivileged Access ManagementPulumiPythonSAMLScimSsoTerraform

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account