We are hiring a Director, FinOps & AI Cost Engineering to build that system.
This is not a traditional cloud cost management role. It is a leadership role at the intersection of engineering, architecture, finance, procurement, and AI platform operations. The person in this seat will establish the frameworks, telemetry, governance, and operating rhythms that turn technology spend into measurable business value. This leader will help UnitedHealthcare Technology understand not just what AI costs, but which AI investments create the most value, how to scale them responsibly, and how to make those economics visible to engineering leaders and executives alike.
This role will be embedded within UHC Technology's platform and engineering ecosystem, partnering closely with SRE, observability, and engineering teams to drive cost visibility and optimization.
The right person for this role combines solid FinOps and cloud economics expertise with deep technical fluency in AI workloads, modern platforms, and engineering delivery. This leader must be equally comfortable discussing token-level unit economics with engineers, commitment strategies with cloud partners, and value realization with senior leadership.
What You Will Own:AI FinOps Strategy and Operating Model:- Stand up and lead an AI FinOps practice spanning cloud infrastructure, on-prem infrastructure, SaaS, vendor spend, model API usage, and token-based AI workload economics
- Build and scale the FinOps capability from the ground up, establishing foundational practices, tooling, and operating rhythms where they do not exist today
- Define the operating model, governance, and decision rights for AI and tech cost accountability across products, platforms, and shared services
- Establish the standards for how AI spend is measured, attributed, reviewed, and optimized across UHC Technology
Unit Economics and Cost Transparency:- Build the core economics framework for AI-enabled technology services, including cost per inference, cost per agent run, cost per workflow, cost per active user, and cost per business outcome where practical
- Create showback and chargeback models that give engineering and business leaders actionable cost visibility at the team, application, and workload level
- Develop dashboards, scorecards, and reporting that make cloud and AI economics understandable to both technical and executive audiences
Optimization and Value Engineering:- Identify and drive optimization opportunities across cloud consumption, commitments, rightsizing, storage, SaaS usage, model selection, prompt design, retrieval strategies, and inference patterns
- Partner with engineering and architecture leaders early in design decisions to shape solutions for both technical performance and economic efficiency
- Partner with SRE and observability teams to connect performance, reliability, and cost signals, enabling more informed engineering and architectural decisions
- Shift the organization from reactive bill review to proactive value engineering
- Enable scalable adoption of AI and platform capabilities by embedding cost transparency and economic efficiency into engineering decisions early in the lifecycle
AI-Enabled FinOps Automation:- Deploy AI-powered workflows and agents to automate core FinOps activities, including anomaly detection, optimization recommendations, contract analysis, tagging enforcement, and forecasting support
- Reduce manual reporting and repetitive analysis through scalable automation and agentic operating models
- Establish guardrails and controls for autonomous or semi-autonomous FinOps actions
Vendor and Commercial Management:- Partner with Procurement, Finance, Architecture, and platform leaders on cloud, AI, and SaaS commercial strategy
- Use consumption and utilization data to support commitment planning, vendor negotiations, renewal strategy, and commercial restructuring
- Improve value realization from hyperscalers, model providers, and platform vendors through disciplined governance and measurable performance tracking
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- Undergraduate degree or equivalent experience
- 10+ years of experience in FinOps, cloud economics, technology business operations, platform economics, or closely related technology leadership roles
- 5+ years of leadership experience managing cross-functional initiatives, programs, or teams in a large enterprise environment
- Demonstrated experience building a FinOps, cloud economics, or technology cost management capability at scale
- Solid understanding of public cloud cost drivers, including compute, storage, networking, commitments, reservation strategies, and utilization optimization
- Solid working knowledge of AI/ML workload economics, including model APIs, inference patterns, token-based cost drivers, GPU/accelerator usage, or comparable AI platform economics
- Experience partnering with engineering, architecture, finance, procurement, and vendor teams to influence both technical and commercial decisions
- Proven ability to create executive-ready reporting and translate technical spend patterns into business decisions
- Experience with dashboards, telemetry, and cost observability tooling that supports chargeback/showback, forecasting, and optimization
Preferred Qualifications:- Experience building or deploying AI-enabled automation, agents, or copilots in a production or enterprise setting
- Experience in FinOps using data to drive recommendations to lower costs and improve efficiency
- Experience leading major cloud commitment restructures or platform modernization efforts
- Familiarity with model selection tradeoffs, prompt/inference optimization, RAG economics, and agent runtime design considerations
- Solid point of view on the future of AI cost attribution, agent ROI, and cloud-to-AI spend convergence
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.
