Senior AI Financial Operations Analyst

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, Busines…