Software Engineering Manager – Device Intelligence and Geospatial Insights

Why This Role Matters

Every day, millions of devices generate signals that tell the story of our customers' experiences on the T-Mobile network. The Device Intelligence & Geospatial Insights (DIGI) team transforms those signals into trusted data products, geospatial intelligence, and AI‑enabled insights that influence how T‑Mobile invests in its network, improves customer experience, and advances Autonomous Network capabilities.

As the Software Engineering Manager for DIGI, you will lead a highly technical engineering team responsible for building scalable software and data platform solutions that power critical business and technology decisions across the company. Although DIGI does not directly operate or optimize the network, the team’s insights drive strategic decisions that shape customer experience, network investment, device performance, and emerging AI‑enabled capabilities.

This is an opportunity to lead a lean, high‑impact engineering team solving complex technical challenges at enterprise scale while partnering with leaders across Network, Product, Care, Engineering, and other business organizations.

The Device Intelligence & Geospatial Insights (DIGI) team develops the engineering platforms and trusted data products that help T‑Mobile understand what customers are experiencing on the network.

The team collects, manages, and transforms large‑scale device diagnostics into reusable data products, geospatial intelligence, and AI‑enabled insights that enable teams across T‑Mobile to identify customer‑impacting issues faster, prioritize network investments, improve device performance, and measure the impact of network changes.

Rather than operating the network directly, DIGI builds the software, platforms, and intelligence that help business and technical teams make better decisions.

• Lead, coach, mentor, and develop a team of software engineers responsible for delivering scalable software and data platform solutions.
• Foster a culture of technical excellence, accountability, collaboration, and continuous learning.
• Support career development, performance management, hiring, and succession planning.
• Build confidence and ownership within the team by removing technical blockers and helping engineers succeed.

• Lead technical execution across the team’s software and data platform initiatives.
• Review architecture, influence technical design decisions, and guide engineering best practices.
• Improve software development processes, platform scalability, operational efficiency, security, governance, and data quality.
• Partner with senior engineers to solve complex technical challenges while maintaining high standards for reliability and maintainability.
• Contribute technically when appropriate, including design discussions, architecture reviews, and hands‑on problem solving.

• Partner closely with Network, Product, Care, Engineering, and business stakeholders to deliver trusted device intelligence and geospatial analytics capabilities.
• Prioritize engineering work that delivers scalable, reusable data products supporting customer experience and Autonomous Network initiatives.
• Manage technical vendor relationships and ensure delivered capabilities align with engineering and business objectives.
• Translate complex engineering work into actionable business outcomes for stakeholders.

• Recruit, onboard, and retain top engineering talent.
• Develop future technical leaders while strengthening overall engineering capabilities.
• Promote collaboration across distributed and cross‑functional teams.

• Perform other duties and strategic initiatives as assigned.

DIGI owns the engineering and delivery of software platforms and data products that transform large‑scale device diagnostics into trusted business insights.

Core responsibilities include:

• Device intelligence platforms
• Device diagnostics and telemetry processing
• Geospatial analytics capabilities
• Trusted enterprise data products
• AI…