Sr Analyst, Technical - AI Cost Management

T-Mobile•Bellevue, WA

3d•Onsite

About The Position

This role owns how T-Mobile understands, controls, and gets value from every dollar and every seat it spends on AI — and builds the programs that do it. On the cost side, you'll design the showback and chargeback models for token spend across our GenAI platforms and LLM spend for our agents, then build the cost-optimization model, and the tooling to support it, that keeps spend efficient as usage scales. On the license side, you'll own the license management program across OpenAI, Anthropic, and Glean — who's eligible, verifying the right people hold seats, standing up and tearing down licenses for pilots, and reclaiming what's unused. It's one mission from two angles: every unused seat reclaimed and every token optimized is value returned to the business. As AI spend grows into a major enterprise investment, you're the person who makes it visible, fair, and optimized by design. Success looks like every leader knowing exactly what their AI costs and why, anomalies flagged before they become surprises, and cost views feeding the Council measures dashboard — not a dollar or a seat going to waste.

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Acceptable areas of study include Computer Science or a related field. In lieu of a degree, equivalent industry experience may be considered. (Required)
4-7+ years of experience in financial analysis, cost management, technology spend optimization, or vendor/license management. (Required)
Agile Methodology
Mentorship
Requirements Analysis
Stakeholder Management
Cost Attribution & Chargeback Modeling
Anomaly Detection & Cost Monitoring
Vendor & License Management
Financial Reporting & Dashboard Development
Technical Writing
Troubleshooting
Cost Modeling (Showback & Chargeback)
Cost Optimization Program Design
License & Seat Management
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Experience with AI/LLM platform cost structures (token-based pricing, per-seat licensing)
Familiarity with enterprise AI platforms (OpenAI, Anthropic/Claude, Glean)
Experience with FinOps practices or cloud cost management frameworks
Knowledge of financial chargeback or showback methodologies in enterprise IT
Familiarity with data visualization or dashboard tools (Power BI, Tableau, or similar)

Responsibilities

Design the showback and chargeback models for token spend across GenAI platforms and LLM spend for agents.
Design and build the cost-optimization model, and bring in the tooling to support it.
Own the license management program across OpenAI, Anthropic, and Glean — eligibility, seat verification, pilot licenses, and reclamation.
Attribute cost to the teams and value driving it, and reclaim unused spend and seats as a standing discipline.
Monitor user and workload cost across platforms and agents; flag anomalies to platform and product owners before they become budget surprises
Feed cost views and token attribution data into the Council measures dashboard; support leadership reporting on AI spend trends
Partner with platform engineering, Finance, and business owners to ensure cost attribution is accurate and chargeback models reflect actual usage
Also responsible for other duties/projects as assigned by business management as needed