This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Sr AI Technical Program Manager is a delivery-focused leader responsible for orchestrating the end-to-end execution of T-Mobile's AI product portfolio across multiple simultaneous product launches, cross-functional PODs, and enterprise partnerships. Will be responsible for network AI product portfolio launches across Consumer and Business segments. This role owns the master program plan, risk management, dependency coordination, and executive reporting for a multi-product AI platform program spanning network infrastructure, cloud services, and consumer/business product delivery. The Sr AI Technical Program Manager operates with an automation-first mindset - identifying and eliminating repetitive tactical work through tooling, dashboards, and agentic workflows so that human effort is focused on relationship-driven problem solving, cross-team alignment, and strategic risk management. This role requires someone who combines deep program management expertise with the technical fluency to navigate AI/ML development cycles, cloud platform architectures, and carrier-grade network integration timelines. Success is measured by on-time delivery against publicly committed milestones, stakeholder confidence in program health, and the team's ability to scale multiple active products.
Job Responsibility:
Program Orchestration & Delivery Leadership: Owns the Network AI master program plan across all active products PODs
Defines and manages cross-product milestones, dependency maps, and critical path analysis
Runs weekly program steering and bi-weekly executive steering with senior leadership
Coordinates delivery across Network, IT/AI Platform, AI COE, and Business Teams
Ensures every POD has clear scope, timeline, and acceptance criteria
Leads the interface between internal delivery teams and external partners
Work with the GTM team on certification readiness process and launch sequencing across simultaneous products
Develops program roadmaps, project plans, and schedules while providing budget oversight to ensure alignment with business objectives
Automation-First Operations: Identifies and eliminates tactical program, project scrum management overhead through automation
Builds and maintains automated dashboards for program health, epic status, risk tracking, and budget reporting - replacing manual status collection with real-time data
Implements agentic workflows for dependency tracking, milestone alerts, and stakeholder notifications
Designs repeatable program templates (launch checklists, readiness scorecards, war room protocols) that scale across product launches without linear headcount growth
Establishes automated executive reporting pipelines that pull directly from Jira/Asana/project management tools rather than requiring manual synthesis
Facilitates creation and maintenance of program charters, including mission statements and key performance indicators, to guide program execution
Risk Management & Cross-POD Dependencies: Leads the program risk register across Capex/Opex portfolio
Identifies, assesses, and drives mitigation for delivery risks spanning technical dependencies (platform capabilities gating product features), vendor dependencies (Vendor SOW deliverables, model provider timelines), regulatory dependencies, and commercial dependencies
Handles resource contention across PODs that share engineering and architecture resources
Escalates blocking risks with clear options and recommendations - not just status reports
Leads program changes by evaluating risks and impacts, contributing to continuous improvement and best practice development
Executive Reporting & Stakeholder Communication: Serves as the single source of truth for program status across all stakeholders
Prepares and delivers executive-ready program reviews that lead with decisions needed, not status recaps
Manages communication cadence across different audiences: weekly tactical syncs with POD leads, bi-weekly steering with senior leadership, monthly business reviews with cross-functional partners
Translates technical delivery status into business impact language for non-technical executives
Coordinates with IT PMO, Network PMO, and enterprise governance processes to ensure program reporting integrates with T-Mobile's broader portfolio management
Coordinates program teams to provide statistical and status reporting, addressing interdependencies, risks, and resource constraints
Process Design & Continuous Improvement: Designs the operating rhythm for a multi-product AI program: sprint cadences, release trains, launch readiness gates, and retrospective cycles
Implements process controls for vendor management (SOW tracking, deliverable acceptance, co-investment reporting) and regulatory compliance
Establishes the war room protocol for launch events and critical escalations
Drives post-launch retrospectives that produce actionable improvements, not just documentation
Builds the program management playbook that enables the team to scale from current products to the full 2027-2028 roadmap
Implements process controls to ensure compliance with corporate and regulatory standards, managing contracts and vendor relationships effectively
Delegates program responsibilities and manages resources to resolve conflicts and support technical solution development
Requirements:
Bachelor's Degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent
4-7 years - Experience in organizational programs, project management or related area
4-7 years - Experience working closely with Engineering, Design, and Product teams to drive iterative delivery of cross-functional initiatives from concept to launch
Program Management
Project Management
Budget Management
Program Analysis
Problem Solving
Communication
Negotiation
Attention To Detail
Product Lifecycle Management
Leadership
Vendor Management
AI/ML Program Fluency
Automation & Tooling
At least 18 years of age
Legally authorized to work in the United States
Nice to have:
Acceptable areas of study include Business, Finance, Economics, Computer Science, Engineering, or related field