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# Software Engineering Manager - Device Intelligence

- **Company:** T-Mobile Us, Inc.
- **Location:** Overland Park, KS, United States
- **Experience:** Experienced
- **Salary:** $157,090.0 - $283,245.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Computing Platforms, Business Intelligence Development, Cloud Engineering, Computer Programming, Data Infrastructure, Relational Databases, Geospatial Intelligence, Systems Development Life Cycle, Software Engineering, SQL Databases, Enterprise Software Applications, Snowflake, Information Technology, Data Analytics, Data Management, Databricks
- **Published:** September 27, 2026
- **Apply:** https://www.kansasworks.com/jobs/13674825

## About the Role

We're looking for a software engineering leader who combines strong technical credibility with exceptional people leadership.
Successful candidates will demonstrate experience:
Leading software engineering teams delivering scalable enterprise applications or data platforms.
Coaching engineers while remaining technically engaged.
Driving architectural discussions and engineering best practices.
Partnering effectively across engineering and business organizations.
Delivering reliable, maintainable software solutions in fast-paced environments.
Building trust through technical expertise, collaboration, and execution.

Telecommunications experience is helpful but not required. We are primarily seeking an experienced software engineering leader with strong technical depth and a passion for solving complex engineering problems.

Education and Work Experience:
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Acceptable areas of study include Computer Science or in a computer programming related field. (Required)
4-7 years Experience in an Analytics and Business Intelligence development environment. (Required)
Less than 2 years Experience in managing or supervising a team of 15 developers or more. (Required)

Required Knowledge, Skills and Abilities:
Analytical Thinking
Business Metrics
Coaching
Collaboration
Computer Programming
Customer Delivery
Leadership
People Management
Product Delivery
Relational Database Management System (RDBMS)
Resource Management
SQL
Software Development
Software Development Management
Technical Writing
Technology Roadmap
Vendor Management
Snowflake
Java
SDLC

At least 18 years of age
Legally authorized to work in the United States

## Description

As the Software Engineering Manager for DIGI, you'll 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. While 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.

About the DIGI Team

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.

What You'll Do

Lead and Develop a High-Performing Engineering Team
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.

Drive Technical Execution and Engineering Excellence
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.

Deliver Strategic Data Products and Platform Capabilities
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.

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

Additional Responsibilities
Perform other duties and strategic initiatives as assigned.

What the Team Owns

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-enabled analytics services
Data quality and governance
Software platforms supporting internal business intelligence

The team influences business and network decisions by providing trusted intelligence but does not directly operate or optimize the production network.

How You'll Partner

Success in this role depends on close collaboration across multiple organizations.

You'll regularly partner with:

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.

What Success Looks Like

Within your first year, success includes:
Building a high-performing, technically confident engineering team.
Successfully leading engineering execution across strategic initiatives.
Improving platform scalability, reliability, governance, and operational efficiency.
Increasing adoption of reusable data products across the enterprise.
Helping engineers grow through coaching, mentorship, and technical leadership.
Delivering software solutions that improve customer experience and enable smarter business decisions.

Technology Environment

The team develops cloud-native software and data platform solutions using technologies that include:
Java
SQL
Snowflake
Databricks
Cloud-based AI services
OpenAI-powered development and analytics capabilities
Modern software engineering and SDLC practices

Experience across every technology is not required, but candidates should have strong software engineering fundamentals and experience leading modern engineering teams.


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