Director, Domain Data Products, Emerging Business, HR & Legal

T-Mobile•Bellevue, WA

About The Position

T-Mobile is in pursuit of exceptional talent to join our executive team. We’re committed to excellence and innovation, and we are on the lookout for a leader who can steer our company towards new heights of success. In 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, Domain Data Products works with businesses domains to deliver data products, leading technical execution for assigned areas. The role translates product requirements into technical specifications, oversees data mapping and modeling, manages roadmaps and backlogs, and collaborates with platform engineers on data availability, cataloging, and creation of semantic layers as needed. This inspirational leader will ignite an internal team transformation focused on delivering new and innovative technology solutions to support the broader data goals of the business and T-Mobile. A significant emphasis will be placed on identifying talent and opportunities for innovation to ensure T-Mobile success in an increasingly competitive and fast-moving industry landscape.

Requirements

Bachelor's Degree in Business Administration, Computer Science, Applied Mathematics, or equivalent work or educational experience. (Required)
10+ years of experience in Software Development and Data Science
7-10 years of management experience required.
Deep experience in leading software development, large scale implementation and operational responsibility of business intelligence platforms, decision support systems and reporting tools.
Possess a thorough understanding of design and delivery including big data platforms and information management strategies in a large complex organization.
Deep technical understanding of data warehouse and big data design principles, data quality, cloud architecture, data as a service, data security and integration best practices.
Deep experience and proven success and flexibility in combining/crossing delivery life cycles using both waterfall and agile methodologies as well as extensive experience with enterprise level data architecture, modeling and securing data.
Deep experience in Data Science, analytical problem-solving approaches and toolsets.
Leadership experience in building and managing ad advanced analytics Center of Excellence (CoE).
Ability to lead and drive organizational and cultural change as well as build and develop a high functioning team.
Ability to manage multiple projects and priorities demanding both rigorous attention to detail and high-level comprehensive solution.
Excellent communication skills, both verbal and written.
Experience with Hadoop (or similar), Teradata (or similar), and multiple analytics technologies.
Legally authorized to work in the United States

Nice To Haves

Master's Degree in Business Administration, Computer Science, Applied Mathematics, or equivalent work or educational experience. (Preferred)

Responsibilities

Define and develop the strategy for assigned business domain (Emerging Technologies, HR, etc.).
Provide leadership and oversight for strategic direction, lifecycle planning and alignment with the capabilities roadmap for all aspects of data movement frameworks.
Understand, consult and translate business needs into achievable, sustainable and innovative technical solutions and capability roadmaps.
Build and lead a team transformation of full-time employees and contractor resources with significant focus on reducing the reliance and dependency of external resources.
Consult with analytics and data science community leaders within the enterprise to evangelize and align the analytics strategy across all functions and levels within the organization.
Continually assess and evaluate the impact of emerging technologies against strategic business needs and interpret business value for the leadership team in a consultative capacity.
Develop and motivate a high caliber, team-oriented engineering and operations organization that promotes excellence and rewards results.
Mature an advanced analytics technical Center of Excellence (CoE).
Lead efforts to ensure the workplace environment supports a highly motivated and effective workforce focused on continuous improvement and best practices.

Benefits

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
voluntary long-term care insurance
mobile service & home internet discounts
pet insurance
access to commuter and transit programs