Sr Analyst, Technical: AI Inventory & Risk Registry

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!

This role keeps the enterprise's picture of its AI clear enough to move fast on — the inventory of AI assets (agents, models, MCP servers, LLM keys, and applications) and the AI risk register that sits with it. A clear inventory and a current risk register are what let T-Mobile say "yes" to AI quickly and confidently, because decisions aren't held up by uncertainty about what's running or where the risk sits. You'll own how assets are onboarded, managed, and offboarded so they come on and off cleanly, and you'll keep the risk register accurate with every open item carrying a named owner and a due date. Success looks like an inventory and risk register leaders trust enough to act on without second-guessing — every unregistered asset discovered and resolved, every open risk item owned, and audit evidence ready when it’s asked for.

Own the inventory of AI assets — agents, MCP servers, LLM keys, and applications — keeping it accurate, complete, and owned. Run the lifecycle that onboards, manages, and offboards AI assets, with a clear owner at every step. Own the AI risk register — keep it accurate and make sure every open item has an owner and a due date. Produce the inventory and risk-register views that help leaders and reporting move faster. Drive unregistered AI asset discoveries to zero — the Council “Coverage” measure — ensuring every open item has a named owner and a due date Produce registry evidence for audits and the monthly measures dashboard; support internal audit remediation tracking Partner with Cyber, Legal, Privacy, and TPRM to ensure newly discovered or changing AI assets are properly registered and tiered 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 IT asset management, risk management, data governance, or compliance operations. (Required) Required Knowledge, Skills and Abilities Agile Methodology Mentorship Requirements Analysis Stakeholder Management Audit Evidence Production Data Quality & Completeness AI Risk Tiering & Classification Technical Writing Troubleshooting Asset Inventory Management Risk Register Management Lifecycle Management (Onboarding & Offboarding) Preferred Knowledge, Skills and Abilities Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) Experience with GRC (Governance, Risk & Compliance) platforms or tools Knowledge of enterprise AI asset types (agents, MCP servers, LLM keys, APIs) Familiarity with SOX, data privacy, or cybersecurity compliance requirements 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