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 - 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. 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 - $166,100 Corporate 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, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ364274¶dox=1 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com. Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!