Sr. Director, Agentic AI, Automation & FDE

T-Mobile is in pursuit of exceptional talent to join our executive team. We’re committed to excellence and innovation, and we are on the lookout for a leader who can steer our company towards new heights of success. In this pivotal role, you will be responsible for driving strategic initiatives and leading a talented team of professionals. The ideal candidate will possess a proven track record of success, demonstrating a keen ability to navigate complex challenges and capitalize on emerging opportunities. As a key member of our executive team, you will play a crucial role in shaping and executing our organizational strategy and contributing to our continued growth and market leadership. Join us in our commitment to driving innovation, inspiring collaboration, fostering a positive company culture, and achieving unparalleled success.

The Sr. Director, Agentic AI Automation & FDE is T-Mobile’s internal evangelist for Agentic AI and the leader responsible for pushing AI into every department of the company and has a primary focus on back-office functions including supply chain, finance, legal, HR, and all corporate functions. This role builds and leads the Forward Deployment Engineering practice, embedding specialized AI engineers directly inside business units to make AI real in every part of the enterprise, not just in centralized platform teams. The role holds direct accountability for business unit outcome metrics, owns the FDE operating model and performance framework, and serves as T-Mobile’s primary relationship holder with key AI technology partners Google, Anthropic, and OpenAI. It reports directly to the SVP, Enterprise Transformation & AI, and leads a cohort of Forward Deployment Engineers across US and India with a mandate to scale.

• Build and lead the Forward Deployment Engineering practice: design the FDE operating model, engagement methodology, domain rotation structure, and performance measurement framework. Own FDE hiring, onboarding, and cohort development for the initial 20-person US and India cohort and subsequent hiring waves. Establish the practice standards, diagnostic frameworks, and iteration protocols that govern how FDEs operate across all T-Mobile business domains.
• Own the Agentic AI Automation delivery function: oversee the design, deployment, and production optimization of agentic AI systems across T-Mobile's commercial domains care, retail, B2B, supply chain, finance, legal, and HR. Ensure deployed solutions are built on the CoE shared platform rather than bespoke per-BU stacks and hold accountability for whether business unit outcome metrics actually move.
• Manage the BU partnership model and AI vendor relationships: establish and maintain Sr. Director level relationships with back-office and consumer business unit leaders across all FDE-embedded domains. Own the domain prioritization framework with primary focus on back-office functions. Manage T-Mobile’s strategic partnerships with Google, Anthropic, and OpenAI including joint roadmap input, early access to emerging agentic capabilities, and translating partner technology advances into T-Mobile deployments. Translate BU operational friction into structured feedback for CoE engineering and governance teams.
• Drive the reusable pattern library and CoE knowledge loop: ensure proven domain solutions are codified into templates, building blocks, and playbooks that land on the CoE shared platform. Oversee structured bi-weekly feedback cycles from FDEs to CoE engineering teams and participate in CoE sprint reviews to translate field observations into platform improvements.
• Report program performance and EBITDA impact: own the roll-up reporting of FDE domain outcomes to SVP and ELT audiences. Build and maintain the measurement framework for tracking AI-driven business impact across domains, including AHT reduction, containment rates, conversion lift, procurement cycle compression, and other BU-specific metrics.
• Also responsible for other Duties/Projects as assigned by business management as needed.

The Experience You’ll Bring

• Bachelor's Computer Science, Engineering, or a related field (Required).
• 10+ years of experience in technology leadership with progressive experience in AI engineering applied ML, or enterprise digital transformation.
• 7-10+ years of experience in people leadership managing technical teams including senior engineers and team leads.
• 2-4 years hands-on experience with Agentic AI systems, LLM deployment, RAG architecture, or multi-agent orchestration in production environments.

Enough about what you’ve done. Let’s talk about who you are.

• Deep understanding of Agentic AI system design, prompt orchestration, LLM integration patterns, and production AI reliability.
• Familiarity with operations in at least two of t