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The AI & Modeling Relations Manager is the primary liaison between the business and T-Mobile's AI Center of Excellence (COE), responsible for translating enterprise AI capabilities into adopted, governed, and cost-effective solutions for the business unit. This role requires fluency in modern AI technology and terminology - large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, prompt engineering, machine learning operations (MLOps)/large language model operations (LLMOps), and responsible AI practices - to credibly partner with COE architects and data scientists while advocating for business needs. The manager owns the intake, evaluation, governance alignment, and financial stewardship of AI initiatives sourced through or coordinated with the COE, ensuring the business unit adopts AI responsibly, efficiently, and at the pace the organization can absorb.
Responsibilities:
AI COE Relationship Management- Serve as the single point of contact between the business unit and the AI Center of Excellence, managing intake of AI use cases, prioritization, and delivery timelines.
- Build and maintain a trusted working relationship with COE leadership, architects, data scientists, and ML engineers to ensure business priorities are represented in the COE roadmap.
- Translate business problems into well-formed AI use case briefs and translate COE technical capabilities and constraints back into business-friendly guidance.
- Facilitate regular governance/steering meetings, roadmap reviews, and escalation paths between the business unit and the COE.
AI Governance & Compliance - Ensure all AI initiatives sourced through the COE comply with enterprise responsible AI principles, model risk management standards, and data classification/privacy requirements.
- Partner with Legal, Privacy, Security, and Risk teams to support AI impact assessments, model documentation, and audit readiness.
- Maintain a current inventory of AI/ML models and tools in use within the business unit, including their approval and governance status.
AI Vendor & Tool Evaluation- Partner with the COE to evaluate new AI platforms, foundation models, and third-party AI vendors (e.g., LLM providers, vector database platforms, AI agent frameworks) against business requirements.
- Coordinate proof-of-concept (POC) and pilot evaluations, defining success criteria, evaluation rubrics, and go/no-go recommendations.
- Stay current on the evolving AI vendor landscape (foundation model providers, AI copilots, agentic platforms) and advise the business on build-vs-buy decisions in partnership with the COE.
Business Unit AI Enablement- Identify and prioritize high-value AI use cases within the business unit, in partnership with COE data scientists and solution architects.
- Drive adoption of COE-delivered AI capabilities (copilots, chatbots, predictive models, automation agents) through training, change management, and communication.
- Act as the business unit's champion for AI literacy, helping teams understand what AI can (and cannot) responsibly do.
Qualifications:Required: - Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
- Acceptable areas of study include Finance, Economics, Mathematics. Statistics or related field
- 5+ years of experience in technology program/product management, vendor management, or a related cross-functional leadership role.
- Demonstrated working knowledge of AI/ML concepts and terminology, including large language models (LLMs), generative AI, machine learning, natural language processing (NLP), retrieval-augmented generation (RAG), prompt engineering, and agentic AI.
- Experience managing relationships with technical teams, centers of excellence, or shared services organizations.
- Strong communication skills with the ability to translate technical AI concepts for non-technical business stakeholders and vice versa.
- Key AI Literacy Expectations:
- Foundation models & LLMs - GPT, Claude, Gemini, Llama - and how they're selected/deployed.
- Generative AI vs. predictive/traditional ML vs. agentic AI.
- Prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
- Embeddings and vector databases.
- MLOps/LLMOps, model monitoring, and model drift.
- Responsible AI: bias, fairness, explainability, hallucination, guardrails.
- AI governance and risk frameworks, data classification, and privacy-by-design.
- Inference cost, token usage, and compute optimization.
Preferred:- Experience working directly with or within an AI/ML Center of Excellence, data science team, or enterprise AI governance function.
- Familiarity with responsible AI/model risk frameworks (e.g., NIST AI RMF, ISO/IEC 42001) and AI governance practices.
- Working knowledge of MLOps/LLMOps concepts, model evaluation, fine-tuning, embeddings, and vector databases.
- Experience with the AI vendor and platform landscape (e.g., OpenAI, Anthropic, Google, Microsoft Copilot, AWS Bedrock) sufficient to support evaluation conversations.
- PMP, Agile/Scrum, or similar program management certification.
#LI-Corporate
- At least 18 years of age
- Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Total Target Cash Earnings Opportunity: $109,595 - $197,685
National Base Pay Range: $95,300 - $171,900
The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.
The base pay range reflects the compensation component of this opportunity. The 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. To find the pay range for this role based on hiring location, ;paradox=1
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. Corporate employees are eligible for a year-end bonus based on individual and/or company 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. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.
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 ;br>
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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!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing or calling 1-. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
