Senior Analyst, Technical, AI Cost Management

T-Mobile

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bellevue, WAFrisco, TX
Employment
Full-time
Posted
89 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $145k
$104k $180k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $117,063–$172,237.

Based on 240 similar postings.

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About T-Mobile

T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications

T-Mobile currently has 72 open roles on FindRole.

Listed pay typically runs $138,996–$228,650 across 32 roles with salary data.

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At a glance

TL;DR · Senior Analyst, Technical, AI Cost Management

The Sr Analyst, Technical - AI Cost Management owns the strategy for understanding and controlling enterprise AI spending. You will design showback and chargeback models for token spend across GenAI platforms and LLM spend for agents. Your daily responsibilities include building cost-optimization models, managing license programs for OpenAI, Anthropic, and Glean, and reclaiming unused seats. You will monitor user workloads to flag anomalies, attribute costs to specific teams, and feed data into the Council measures dashboard. Required skills include cost attribution, anomaly detection, vendor management, and financial reporting. You should be proficient in Agile Methodology, requirements analysis, and technical writing. This role solves the business problem of making large-scale AI investments visible, fair, and optimized by designing systems that ensure every dollar and seat provides measurable value.

What you'll do

  • Design showback and chargeback models for token spend across GenAI platforms and LLM agents.
  • Build and maintain cost-optimization models and supporting tools to ensure efficient scaling of AI spend.
  • Manage the license program for OpenAI, Anthropic, and Glean, including seat verification and reclamation.
  • Attribute costs to specific teams and reclaim unused spend or seats as a standing discipline.
  • Monitor user and workload costs to flag anomalies to platform and product owners before they impact budgets.
  • Feed cost views and token attribution data into the Council measures dashboard for leadership reporting.
  • Partner with engineering and Finance teams to ensure accurate cost attribution and usage-based chargebacks.

What we're looking for

  • Must be at least 18 years of age and legally authorized to work in the United States.
  • Bachelor's degree plus 5 years of related experience or an advanced degree with 3 years of related experience.
  • Acceptable areas of study include Computer Science or a related field, though equivalent industry experience may be considered.
  • 4-7+ years of experience in financial analysis, cost management, technology spend optimization, or vendor/license management.
  • Proficiency in cost attribution, chargeback modeling, anomaly detection, and license management.
  • Skills in Agile methodology, requirements analysis, stakeholder management, technical writing, and troubleshooting.
  • Experience with AI/LLM platform cost structures and enterprise AI platforms like OpenAI, Anthropic, or Glean (preferred).
  • Familiarity with FinOps practices, cloud cost management, and data visualization tools like Power BI or Tableau (preferred).

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