Technology Finance Manager, AI Cost Planning
$125,000 - $145,000 per year
Apply (opens in a new tab)Technology Finance Manager, AI Cost Planning
Posted 3 days ago
SENIORITY
Lead
SALARY
$125,000 - $145,000 per year
About the role
- Lead the annual budget and rolling forecast for AI costs, including model API usage, GPU and cloud compute, and AI software licenses
- Build driver-based financial models that separate usage volume (users, requests, tokens) from unit price (model mix, per-token rates, caching and batch discounts)
- Develop scenario analyses for the key drivers of AI spend, including adoption growth, new model releases, price changes, and model migrations
- Track AI efficiency metrics such as cost per output and cost per user, and translate AI costs into unit economics and ROI views for senior leaders
- Lead FP&A processes (monthly close, variance analysis, risk and opportunities, reporting, forecasting and annual planning) for AI investments
- Partner with Technology and Product teams to source usage data and identify cost-saving levers such as model routing, caching, and batching
- Establish showback or chargeback reporting so business and technology teams see and own their AI spend
- Support Procurement on AI vendor negotiations, committed-spend sizing, and tracking usage against contract tiers
- Champion GenAI capabilities across the STS FP&A team, building AI-assisted workflows with clear review controls and measurable results
- Maintain sound risk management and control environment for work product
- What you have
- Bachelor's degree in Finance, Economics, Accounting, or related field; MBA is a plus 5+ years of experience in FP&A, corporate finance, or infrastructure/cloud finance
- Exceptional financial modeling skills, including driver-based forecasting, scenario analysis, and sensitivity analysis
- Experience forecasting usage-based costs such as cloud hosting (AWS, Azure, GCP), AI model APIs, or consumption-priced vendor contracts
- Hands-on experience building AI-assisted workflows (e.g., Claude, ChatGPT, Copilot) to improve FP&A processes, with specific examples of results achieved
- Strong data skills, including advanced Excel and SQL for working with usage and billing data
- Proven ability to partner with technology teams and influence decisions without direct authority
- Excellent oral and written communication skills, with the ability to present uncertain forecasts to senior leaders as clear ranges, risks, and recommendations
- Proactive, self-starter, able to manage and deliver multiple projects and succeed in a time-sensitive, fast-paced environment with minimal direction
- FinOps experience (cloud cost allocation, showback/chargeback, commitment-based savings) or a FinOps Certified Practitioner credential is a plus
- Working knowledge of AI pricing mechanics (input and output tokens, caching, batch pricing, provisioned throughput) is a plus
- Knowledge of financial systems such as IBM Planning Analytics and PeopleSoft Financials is a plus
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
