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!

Job Overview
The Sr Manager, Machine Learning at T-Mobile is instrumental in leading the strategic implementation and operational management of AI and ML projects. This role is pivotal in coordinating multi-functional teams to optimize processes and integrate AI/ML models seamlessly into business operations, enhancing operational efficiency and innovation. With a strong focus on leadership, the Sr Manager is responsible for critical decisions related to team development, resource planning, and budget allocation. By collaborating with various teams, this position ensures the alignment of AI and ML operations with organizational goals, driving significant advancements in T-Mobile's technological capabilities. Ultimately, the Sr Manager, Machine Learning contributes to the company's competitive edge and long-term success through strategic oversight and effective management of AI and ML initiatives.

We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting visibility in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today!

Job Responsibilities:

Leads the strategic implementation and operational management of AI and ML projects, ensuring alignment with organizational goalsCoordinates multi-functional teams to integrate AI/ML models into business operations, enhancing efficiency and innovationManages critical decisions related to team development, resource planning, and budget allocationCollaborates with various departments to ensure seamless operation and implementation of AI and ML technologiesDrives advancements in technological capabilities through effective leadership and strategic oversightEvaluates project outcomes and adjusts strategies to meet business needs and technological trends

Education and Work Experience:

Bachelor's Degree Computer Science, Data Science, or Related Field (Required)Master's/Advanced Degree Computer Science or Data Science (Preferred)Experience leading and managing a team in the field of machine learning or data science (Preferred)Experience with data querying, wrangling, cleaning, and feature engineering in big data environments such as AWS, Azure, and Google Cloud (Preferred)Experience building and deploying data mining, visualization, statistical modeling, and machine learning solutions using various supervised/unsupervised ML algorithms (Preferred)

Knowledge, Skills and Abilities:

Leadership Strong leadership skills with the ability to lead and inspire cross-functional teams. (Required)Strategy Exceptional critical thinking and problem-solving abilities, with a deep understanding of AI/ML technologies and applications. (Required)Collaboration Excellent communication, negotiation, and interpersonal skills to collaborate effectively with technical and non-technical stakeholders. (Required)Project Management Strong project management skills, with the ability to manage complex AI/ML initiatives and prioritize competing demands. (Required)Innovation Results-oriented outlook with a demonstrated ability to achieve AI/ML-related goals and drive innovation. (Required)Engineering In-depth knowledge and experience in engineering and artificial intelligence/machine learning, critical for the technical oversight and strategic implementation of AI/ML solutions. (Required)

Licenses and Certifications:

Certified Machine Learning Professional (CMLP): Certification that validates expertise in machine learning concepts and the ability to apply them to real-world problems. (Preferred)Project Management Professional (PMP) Internationally recognized certification that demonstrates proficiency in project management and the ability to lead and direct projects. (Preferred)Certified Data Scientist (CDS): Certification that endorses skills in data science methodologies and tools, relevant for managing and analyzing large datasets. (Preferred)

At least 18 years of ageLegally authorized to work in the United States
Travel:
Travel Required (Yes/No): No

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $172,100 - $310,500

Corporate Bonus Target: 20%

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ330983&paradox=1

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.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

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 ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. 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.