Software Engineering Manager – Device Intelligence and Geospatial Insights

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The Device Intelligence & Geospatial Insights (DIGI) team transforms signals from millions of devices into trusted data products, geospatial intelligence, and AI‑enabled insights that influence network investment, customer experience, and autonomous network innovations. As Software Engineering Manager for DIGI, you will lead a high‑impact engineering team that builds scalable software and data platform solutions to support these decisions.

The DIGI team develops engineering platforms and trusted data products that help T‑Mobile understand customer experience on the network. It collects, manages, and transforms large‑scale device diagnostics into reusable data products, geospatial intelligence, and AI‑enabled insights. The team’s insights shape network and product strategy across the company.

• Lead, coach, mentor, and develop a high‑performing team of software engineers, fostering a culture of technical excellence 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 software and data platform initiatives, reviewing architecture and influencing design decisions.
• 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 and strengthen overall engineering capabilities.
• Promote collaboration across distributed and cross‑functional teams.
• Perform other duties and strategic initiatives as assigned.

• Device intelligence platforms
• Device diagnostics and telemetry processing
• Geospatial analytics capabilities
• Trusted enterprise data products
• AI‑enabled analytics services
• Data quality and governance
• Software platforms supporting internal business intelligence

• Network Engineering – to provide trusted intelligence that helps identify customer‑impacting network issues and prioritize investments.
• Product Management – to prioritize engineering work and evolve reusable platform capabilities.
• Customer Care – to improve customer support through better diagnostics and actionable insights.
• Engineering – to integrate DIGI data products into enterprise platforms and applications.
• Business Leadership – to provide scalable engineering solutions that support strategic initiatives across T‑Mobile.

• Build a high‑performing, technically confident engineering team.
• Lead engineering execution across strategic initiatives.
• Improve platform scalability, reliability, governance, and operational efficiency.
• Increase adoption of reusable data products across the enterprise.
• Help engineers grow through coaching, mentorship, and technical leadership.
• Deliver software solutions that improve customer experience and enable smarter business decisions.

• Java
• SQL
• Snowflake
• Databricks
• Cloud‑based AI services
• OpenAI‑powered development…