Sr Manager, AI Strategy - GenAI Platforms & Chatbot Products
T-Mobile
- Location
- Bellevue Washington
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 142 approvals (FY2023)
- Posted
- 8h ago
Skills
About this role
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!
Job Overview
This role leads the team behind the AI platforms the whole enterprise relies on — the GenAI tools people use every day and the coding platforms our engineers build on — and the enterprise's self-service AI chat agents for Tier 1 IT and HR support. This is one of the highest-impact roles in the organization. These platforms are how the company gets work done and how our engineers ship code, and we're not dipping our toes in — we're leading the way with a platform of choice, so people reach for the best tool rather than the only one. That means real scope: multiple best-in-class platforms, one gateway, the models beneath them, and the reliability and cost that keep them running — plus the AI chat agents employees reach for first, resolving IT and HR requests in seconds instead of tickets, which your team builds, maintains, and operates against business-owner requirements. You own the experience across all of it, and you're accountable for making it match our Un-carrier mindset — bold, easy, and built for the people who use it. Success looks like an enterprise that builds and works on our platforms because they're the best, not because they're mandated.
Job Responsibilities
Run the enterprise GenAI platform layer: gateway, key management, compliance APIs, and tool enablement Manage TeSS and Fetch myHR chatbot operations & platform migration, build-and-maintain against business-owner requirements; build and deploy the Universal Assistant product beginning in Q1 Own AI cost management, token-level attribution, chargebacks, adoption reporting, and the reusable-asset marketplace Own the platform-of-choice strategy — multiple best-in-class platforms so people use the right tool for the job. Own the end-to-end experience across platforms, and hold it to the Un-carrier bar. Own platform reliability, security posture, and cost across the footprint. Build and maintain cross-functional partnerships with business owners, Legal, Cyber, and Procurement to ensure platform compliance, licensing, and routing integrations are current Mentor team members by providing coaching and career development opportunities to enhance skills and knowledge Oversee executive-level reporting on platform adoption, AI cost trends, and performance against SLOs Also responsible for other duties/projects as assigned by business management as needed Education and Work Experience Bachelor's Degree and 7 years of related work experience OR a combination of education and experience deemed equivalent (Required) Acceptable areas of study include Business, Engineering, Computer Science, Information Systems, or related field (Preferred) 7-10+ years Strategy and Problem Solving. Experience in framing complex problems, identifying key issues that impact business decisions, and providing data-driven recommendations. (Preferred) 7-10+ years running enterprise technology platforms, SaaS platforms, or developer tooling at scale, including vendor management and platform cost accountability. (Preferred) 4-7+ years Project management. Experience managing projects independently, engaging and getting buy-in from stakeholders, and creating roadmaps and project plans. (Preferred) 2-4+ years of managing teams of 5 or more resources in direct reporting relationships in an analytics, strategy, or project management organization. (Preferred) Experience with LLM platforms, AI/ML tooling, or enterprise software vendor management (Preferred) Required Knowledge, Skills and Abilities Artificial Intelligence