À propos de ce poste Lead Director - AI FinOps chez CVS Health
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.
POSITION SUMMARY
CVS Health is seeking a visionary Lead Director, AI FinOps to establish and lead the enterprise-wide AI FinOps 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 FinOps will create the financial and operational framework necessary to support sustainable innovation at scale. The Lead Director, AI FinOps 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.
Serving as a strategic bridge between Technology and Finance, the Lead Director, AI FinOps will partner with Engineering, Product, Architecture, Finance, Procurement, and Executive Leadership to bring greater transparency and accountability to AI investments. The role requires translating complex consumption patterns, model utilization trends, and infrastructure costs into actionable business insights that support resource allocation, prioritization, forecasting, and long-range investment planning. Beyond cost management, the Lead Director, AI FinOps will help define how CVS Health measures the business value of AI. This includes developing enterprise frameworks that connect technology investments to operational outcomes, productivity gains, customer impact, and strategic business objectives. Through data-driven analysis and executive advisory leadership, this individual will enable the organization to maximize return on AI investments while maintaining appropriate governance, scalability, and financial discipline.
As the enterprise authority on AI economics, the Lead Director, AI FinOps will influence senior leadership decisions regarding AI adoption, platform strategy, vendor optimization, capacity planning, and portfolio management. This role will play a critical part in shaping the future of AI at CVS Health by ensuring that investments are aligned with business priorities and supported by a sustainable financial model that balances innovation, growth, risk management, and operational efficiency. The ideal candidate brings deep expertise in AI platforms, cloud economics, technology financial management, and enterprise-scale operating models, combined with the ability to influence across organizational boundaries. This is an exceptional opportunity for a forward-thinking leader to build a foundational enterprise capability, establish best-in-class AI financial governance, and directly impact how CVS Health scales and realizes value from its AI transformation journey.
PRIMARY RESPONSIBILITIES
Design and build the enterprise AI FinOps 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 FinOps 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 FinOps 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.
REQUIRED QUALIFICATIONS
10+ years of experience in FinOps, cloud financial management, technology finance, or a related discipline within large-scale enterprise environments.
5+ years of experience building and scaling FinOps programs from inception, including defining operating models, governance frameworks, enterprise adoption strategies, and 5+ years of experience designing and operationalizing end-to-end FinOps tooling and processes, including tagging and allocation standards, anomaly detection, automated reporting, and continuous optimization.
2+ years of experience in AI cost governance, including cost attribution, forecasting, financial controls, and optimization for AI model training, fine-tuning, inference workloads, and AI platform services.
2+ years of experience implementing chargeback and showback models that accurately and audibly allocate AI spend across business units, products, or teams, and 2+ years of experience delivering executive-level financial insights by translating complex AI cost drivers into decision-ready recommendations for senior leadership.
2+ years of experience working with enterprise AI services, including AWS Bedrock, Azure AI, Vertex AI, or similar platforms, along with 2+ years of experience analyzing and optimizing AI workload unit economics, including cost-per-inference, cost-per-token, and GPU/TPU utilization efficiency.
PREFERRED QUALIFICATIONS
Experience managing LLM and API‑based AI spend (e.g., OpenAI, Anthropic, Cohere), as well as self‑hosted model infrastructure.
Experience establishing a FinOps and/or AI Center of Excellence (CoE), including scalable operating models, roles, processes, and governance.
Experience in regulated industries (e.g., healthcare, financial services), with exposure to audit, compliance, and cost allocation requirements; HIPAA familiarity is a plus.
Experience developing executive‑level financial dashboards using BI tools such as Tableau, Power BI, or Looker.
Excellent stakeholder management and communication skills, with the ability to influence without authority across Engineering, Finance, and Product teams.
EDUCATION
Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).
BUSINESS OVERVIEW
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Pay Range
The typical pay range for this role is:
$100,000.00 - $231,540.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
