Software Engineering Manager - Device Intelligence and Geospatial Insights

• 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.

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 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

3.73.7 out of 5 stars 6220 Sprint Parkway, Overland Park, KS 66251 $136,600 - $246,300 a year - Full-time, Pulled from the full job description

• Childcare
• Tuition reimbursement
• Pet insurance
• Paid parental leave
• Employee stock purchase plan
• AD&D insurance
• Parental leave, At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!, DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No

Base Pay Range: $136,600 - $246,300

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.

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'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.