Senior Analyst, Technical - AI Cost Management

T-Mobile

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Bellevue, WAFrisco, TX
Salary
$92,100–$166,100 / yr
Posted
43 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $142k
This role $129k
$83k most similar roles pay here $175k

This role pays less than 55% of similar roles. Most pay $119,050–$165,468 — the shaded band above. At the midpoint, this role pays about $129k versus about $142k for comparable roles.

Based on 240 similar postings.

Employer

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 21 open roles on FindRole.

Listed pay typically runs $127,800–$214,360 across 21 roles with salary data.

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View all roles at T-Mobile

At a glance

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

Sr Analyst, Technical - AI Cost Management joins the team to manage how the organization understands, controls, and extracts value from every dollar spent on artificial intelligence. This role involves designing showback and chargeback models for token spend across GenAI platforms and LLM spend for agents, while building cost-optimization models and supporting tools to ensure efficiency as usage scales. The position also oversees license management programs for OpenAI, Anthropic, and Glean, including seat verification and reclamation. Key responsibilities include monitoring workload costs, flagging anomalies, and feeding data into the Council measures dashboard. Required skills include Agile Methodology, requirements analysis, stakeholder management, cost attribution, anomaly detection, and financial reporting. The role addresses the challenge of making large enterprise AI investments visible and optimized through rigorous cost modeling and proactive license management across various platforms.

What you'll do

  • Design showback and chargeback models for token spend across GenAI platforms and LLM usage.
  • Build cost-optimization models and implement the necessary tooling to manage scaling costs efficiently.
  • Manage license programs for OpenAI, Anthropic, and Glean, including seat verification and reclamation.
  • Attribute AI costs to specific teams and identify value drivers to ensure budget transparency.
  • Monitor user and workload costs across platforms to flag anomalies before they become budget surprises.
  • 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 have a Bachelor's degree in Computer Science or a related field, or equivalent industry experience.
  • Must have 5 years of related work experience with a Bachelor's degree or 3 years with an advanced degree.
  • Must have 4 to 7+ years of experience in financial analysis, cost management, technology spend optimization, or vendor/license management.
  • Must be at least 18 years of age and legally authorized to work in the United States.
  • Must possess skills in cost attribution, chargeback modeling, and license management for enterprise software.
  • Must have expertise in anomaly detection, cost monitoring, and financial reporting via dashboard development.
  • Must be proficient in Agile methodology, requirements analysis, stakeholder management, and technical writing.
  • Preferred experience includes FinOps practices, AI/LLM platform costs, and data visualization tools like Power BI or Tableau.

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