Senior AI Financial Operations Analyst
$102,400–$179,000 year
On-siteChicago, Illinois, United States or Irving, Texas, United States
Job Summary
Senior AI Financial Operations Analyst responsible for leading AI financial governance, operational visibility, and consumption optimization of Vizient’s enterprise AI platforms and generative AI services. Partners to establish AI FinOps capabilities enabling responsible, scalable, and cost-effective AI adoption across cloud services (e.g., Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI). Drives AI financial management practices for token usage, GPU utilization, and model hosting, and develops governance standards, guardrails, and executive reporting. Collaborates with Security, Risk, Legal, Architecture, Cloud Infrastructure, Data & Analytics, and AI Engineering to align policies with strategic objectives and optimize AI workloads and tooling adoption. Presents insights and ROI to senior leadership and supports AI investment planning and scalable operating models.
Required 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
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