Lead Director - AI FinOps

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

CVS Health is seeking a visionary Lead Director, AI Fin Ops to establish and lead the enterprise-wide AI Fin Ops capability at one of the nation's largest and most innovative healthcare organizations. This highly visible senior individual contributor role offers a rare opportunity to define a new strategic discipline that will govern how AI investments are planned, measured, financed, and optimized across the enterprise.

As CVS Health accelerates adoption of generative AI, machine learning, and intelligent automation, the Lead Director, AI Fin Ops will create the financial and operational framework necessary to support sustainable innovation  Lead Director, AI Fin Ops will design and implement the strategy, operating model, governance structure, and financial management practices that provide comprehensive visibility into AI spending and value realization.

This leader will establish the methodologies, metrics, and decision frameworks required to assess the economics of AI initiatives, enabling the organization to make informed investment decisions across foundation models, model tuning, inference workloads, AI platforms, and emerging AI technologies operating across cloud and on-premises environments.

• 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 a related discipline within large-scale enterprise environments.
• 5+ years of experience building and scaling Fin Ops programs from inception, including defining operating models, governance frameworks, enterprise adoption strategies, and 5+ years of experience designing and operationalizing end-to-end Fin Ops tooling and processes, including tagging and…