Sr Analyst, Technical - AI Cost Management

T-Mobile; Factoria (WA); On-site; USD 92,100 - 166,100; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k)

Employee stock grants

Employee stock purchase plan

Paid time off

12 paid holidays

Job summary

T-Mobile is seeking an AI FinOps leader to own cost, license, and value across GenAI platforms and agents. You will design showback/chargeback models for token spend and manage licenses for OpenAI, Anthropic, and Glean, ensuring seats are allocated efficiently and costs are visible to leadership.

You'll partner with Platform Eng, Finance and product teams to ensure accurate cost attribution, build dashboards, monitor anomalies, and drive cost optimization as AI usage scales across the business.

Qualifications

• 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)

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

Skills

Agile Methodology

Mentorship

Requirements Analysis

Stakeholder Management

Cost Attribution

Cost Monitoring

Financial Reporting

Technical Writing

Troubleshooting

Cost Modeling

Cost Optimization

License Management

Education

Bachelor's Degree + 5 years in related field

Advanced degree + 3 years in related field

Tools

Power BI

Tableau

Job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Job Overview

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 — what'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.

Job 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

Education and Work Experience

• 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)

Required Knowledge, Skills and Abilities

• 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

Preferred Knowledge, Skills and Abilities

• 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)

• At least 18 years of age
• Legally authorized to work in the United States

Travel

Travel Required (Yes/No): Yes

DOT Regulated

DOT Regulated Position (Yes/No): No

Safety Sensitive Position (Yes/No): No

Base Pay Range: $92,100 - $166,100Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance