Software Engineering Manager - Device Intelligence and Geospatial Insights

Position Overview 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. The DIGI team transforms large-scale device diagnostics into trusted data products, geospatial intelligence, and AI-enabled insights that influence network investment, customer experience, and emerging AI capabilities. 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. 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 How You’ll Partner Network Engineering – provide trusted intelligence that helps identify customer-impacting network issues and prioritize investments. Product Management – prioritize engineering work and evolve reusable platform capabilities. Customer Care – improve customer support through better diagnostics and actionable insights. Engineering – integrate DIGI data products into enterprise platforms and applications. Business Leadership – provide scalable engineering solutions that support strategic initiatives across T-Mobile. What Success Looks Like 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 Java SQL Snowflake Databricks Cloud-based AI services OpenAI-powered development and analytics capabilities Modern software engineering and SDLC practices What We’re Looking For We’re looking for a software engineering leader who combines strong technical credibility with exceptional people leadership. 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 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 Writingl1 Technology Roadmap Vendor Management Snowflake Java SDLC At least 18 years of age Legally authorized to work in the United States Travel Travel required: Yes. DOT Regulated DOT regulated position: No. Safety sensitive position: No. Base Pay Range $136,600 - $246,300; corporate bonus target: 15%. Equal Opportunity Employment Statement T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing View email address on click.appcast.io or calling View phone number on click.appcast.io. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests. #J-18808-Ljbffr T-Mobile