Lead Director - AI FinOps

Position Summary

CVS Health is seeking a Lead Director, AI Fin Ops to build and scale the enterprise AI Fin Ops function at one of the nation’s largest and most innovative healthcare organizations. This is a high‑impact, senior individual contributor role and a true greenfield opportunity for a seasoned leader to shape how AI investments are governed, measured, and optimized across the enterprise.

In this role, you will define the strategy, operating model, governance framework, and tooling required to deliver financial transparency, accountability, and continuous optimization across CVS Health’s rapidly expanding AI ecosystem. This portfolio spans foundation models, fine‑tuning, inference workloads, and AI platform services deployed across multiple cloud and on‑prem environments.

The Lead Director, AI Fin Ops will serve as a strategic partner to Engineering, Finance, Product, and Executive Leadership, translating complex AI cost dynamics into clear, decision‑ready insights. You will help ensure AI investments are financially disciplined, outcome‑driven, and aligned to business priorities, enabling leaders to confidently scale AI innovation while maintaining strong financial stewardship.

This role is ideal for a leader who thrives at the intersection of AI, cloud economics, and enterprise finance, and who is motivated by building new capabilities that directly influence business strategy, innovation velocity, and long‑term value creation.

• Design and build the enterprise AI Fin Ops program from the ground up, including establishing operating models, governance frameworks, and adoption roadmaps across Engineering, Finance, and Product organizations.
• Develop and operationalize AI cost governance processes, including tagging and allocation policies, anomaly detection, budget controls, and automated reporting pipelines for model training, fine‑tuning, and inference workloads.
• Design and implement chargeback and showback models that accurately allocate AI spend to business units, products, and teams, ensuring cost accountability at every level of the organization.
• Lead the evaluation, selection, and implementation of AI Fin Ops tooling across major cloud platforms (AWS, Azure, GCP) and third‑party AI providers (e.g., OpenAI, Anthropic, Cohere), ensuring comprehensive visibility into all AI spend.
• Deliver executive‑level financial reporting and insights, translating complex AI cost data and unit economics (cost‑per‑inference, cost‑per‑token, GPU/TPU utilization) into clear, decision‑ready narratives for C‑suite and board audiences.
• Partner cross‑functionally with Engineering, Procurement, and Finance leadership to drive continuous AI spend optimization, identifying and executing on savings opportunities without compromising model performance or business outcomes.
• Establish and lead an AI Fin Ops Center of Excellence (CoE), defining roles, processes, and scalable governance policies; serve as the internal subject matter expert and evangelist for AI financial accountability across the enterprise.

• 10+ years of experience in Fin Ops, cloud financial management, technology finance, or related discipline within a large‑scale enterprise environment.
• 5+ years in building a Fin Ops program from inception, including defining operating models, governance frameworks, and enterprise adoption.
• 2+ years in AI cost governance, including cost attribution, forecasting, financial controls, and optimization for model training, tuning, and inference workloads.
• 5+ years in designing and operationalizing end‑to‑end Fin Ops tooling and processes, including tagging and allocation standards, anomaly detection, automated reporting, and continuous optimization.
• 2+ years of experience in implementing chargeback and showback models that fairly and audibly allocate AI spend to business units, products, or teams.
• 2+ years of experience in delivering executive‑level financial insights, translating complex AI cost drivers into decision‑ready narratives for senior leaders.
• 2+ years of experience in AI services (e.g., AWS Bedrock, Azure AI, Vertex AI), including native cost management capabilities.
• 2+…