AI & Modeling Relations Manager

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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.

• 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.

• 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.

• 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.

• 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.

• 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…