Director of Data Products

T-Mobile is in pursuit of exceptional talent to join our executive team. Were committed to excellence and innovation and we are on the lookout for a leader who can steer our company towards new heights of this pivotal role you will be responsible for driving strategic initiatives and leading a talented team of professionals. The ideal candidate will possess a proven track record of success demonstrating a keen ability to navigate complex challenges and capitalize on emerging opportunities. As a key member of our executive team you will play a crucial role in shaping and executing our organizational strategy and contributing to our continued growth and market leadership. Join us in our commitment to driving innovation inspiring collaboration fostering a positive company culture and achieving unparalleled success.

Job Overview
The Director of Data Products is the head of the entire Data Product organization. This role ensures alignment of the data strategy with business objectives overseeing both the Data Products and Data Ecosystem teams. Responsible for leading and guiding teams to deliver business value through data-driven insights and solutions. They work closely with senior leadership to set the direction for the data strategy and ensure data operations are running smoothly.

The Data Ecosystem Team is focused on ensuring that the data infrastructure is set up correctly with strong attention to data governance quality and pipeline management. Together these teams ensure the successful development implementation and continuous improvement of data products that drive the business forward. This team ensures the smooth operation of the Data Layers Data Definition and Data Pipelines that underpin the data products ensuring that the data ecosystem is reliable scalable and optimized for supporting the needs of data products.

This new leader will be responsible for converting the captured data into insights and actionable recommendations for the business. They will lead teams in Customer Segmentation Customer Journey Analytics Personalized Recommendations and Data Ecosystem who will play an important role in creating a data-driven customer experience. They work closely with one another often relying on shared data insights to improve the customer journey increase engagement and drive sales. This team partners more closely with the business team and the data ecosystem team partners with the IT team.

Job Responsibilities:

• Define the T-Data model and governance overseeing the creation and maintenance of the data layers (Bronze Silver Gold).
• Ensure seamless integration of data from various sources into the product ecosystem.
• Coordinate cross-functional work with data engineers and analysts to ensure data quality and accessibility.
• Support data integration efforts and ensure data flows smoothly through pipelines with the right frequency.
• Work cross functionally with Business teams across digital marketing campaign management and CRM business reporting care & sales.

Customer Segmentation Team

• Focuses on analyzing and categorizing customers into meaningful groups based on various attributes such as demographics behavior preferences and interactions with the brand. The goal is to enable personalized marketing sales strategies and improved customer targeting.
• Responsible for Customer Data Platform (CDP) including transaction history browsing behavior social media interactions customer support data and more.
• Segments will be fed into marketing automation systems CRM tools and other business systems to facilitate personalized marketing customer service strategies and tailored experiences.

Customer Journey Analytics Team

• Focuses on tracking and analyzing the complete customer experience across all touchpoints with the company. This includes tracking interactions across channels (website mobile in-store customer support) to understand how customers move through their journeyfrom awareness to purchase and beyond.
• Data Analysts work on mapping the customer journey by analyzing interaction data identifying common paths and recognizing key milestones in the customers lifecycle.
• Use A/B testing to test different experiences (e.g. website layout checkout process) and assess their impact on the customer journey. Provide business leaders and marketing teams with insights into the effectiveness of customer journey stages such as which touchpoints are converting customers and which are losing them.

Personalized Recommendations Team

• Focuses on creating personalized content and product recommendations for customers based on their behavior and preferences with the goal of improving the customer experience and drive higher sales or engagement through targeted suggestions.
• Data Scientists and Machine Learning Engineers design and develop recommendation algorithms that predict what products or content a customer is most likely to be interested in.

Data Ecosystem Team

• Focused on ensuring that the data infrastructure is set up correctly with strong attention to data governance quality and pipeline management. Together these teams ensure the successful development implementation and continuous improvement of data products that drive the business forward.
• Ensures the smooth operation of the Data Layers Data Definition and Data Pipelines that underpin the data products.
• Ensures that the data ecosystem is reliable scalable and optimized for supporting the needs of data products. They lead teams that are responsible for maintaining the quality and governance of data as it flows through the ecosystem and into the various data products. They work to ensure that the data being collected and processed is structured defined and ready for use by the Data Product Managers.

Education and Work Experience:

• 10 years Product Management experience in an agile software product development environment preferably in a large consumer organization with millions of consumer applications and an advanced level understanding of managing Data Products.
• 5 years of experience with data platforms and analytics.
• Background working with engineering and a strong understanding of the role of engineering in product development.
• 5 years of experience in leading strategy innovation and data products.
• Advanced knowledge of data tools techniques and manipulation including cloud platforms programming languages and technology platforms.
• 5 years leading and developing teams including people managers with skip-level employees.
• Bachelors Degree in Computer Science Engineering IT or equivalent.
• Demonstrated experience driving enterprise data analytics and insights solutions and other technologies.
• Build lead mentor and inspire team(s); managing performance goals and development potential create and foster an environment that values and promotes autonomy skill mastery empowerment transparency innovation and learning.

Knowledge Skills and Abilities:

• Ability to collaborate with stakeholders in both business and technology to anticipate interpret and challenge thinking when appropriate to align organizational goals and resources
• Develops and maintains culture process and consistent action for continuous improvement across Agile teams
• Assess the business impact of different solutions and the trade-offs between customer needs technology requirements and costs
• Strong communication and people skills
• Listen and understand a variety of points of view balancing concerns with data for better decision making
• Analytical problem solver; applies multiple technical solutions to application operational problems
• Collaborative yet influential
• Flexible self-starter and comfortable working in a rapidly changing environment
• Creative problem solver and solutions provider
• Ability to prioritize multiple projects; detail oriented and organized

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

Travel:
Travel Required (Yes/No): Yes

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

Base Pay Range: $185600 - $251000

Corporate Bonus Target: 25%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidates actual pay will be based on various factors such as qualifications and experience so the actual starting pay will vary within this range. 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 employees eligible earnings in the prior year.

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 dont 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-Mobiles amazing benefits check out .

Never stop growing!
As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre 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 or calling 1-. 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.