Sr. Director, AI & Data Engineering

T-Mobile; Bellevue (WA); On-site; USD 210,000 - 280,000; Full time

Job summary

T-Mobile is seeking an Sr. Director of AI & Data Engineering to drive end-to-end data and AI product initiatives. You will lead architecture, design, and delivery across Finance, Procurement, and Supply Chain, establishing scalable patterns and cloud-first information solutions.

You will build and mentor a high-performing team, promote innovation with AI, and partner with business stakeholders to improve information quality, reliability, and business impact.

Qualifications

• Proven ability to lead vision, strategy, and execution for data/information product initiatives.
• Strong data-driven decision making and measurable impact focus.
• Collaborates with IT and business partners to identify data requirements and ensure data availability.

Responsibilities

• Lead architecture, design, development, and implementation of end-to-end data and AI products.
• Establish scalable patterns aligned with enterprise northstar architecture.
• Drive data platform development and data ingestions/egress pipelines.
• Promote innovative AI products in collaboration with stakeholders.
• Mentor and build high-performing teams and foster autonomy and learning.

Skills

Vision & strategy leadership

Data product strategy

AI & data engineering leadership

Stakeholder management

Team building & mentorship

Communication

Data governance & security

Education

Bachelor's or Master's in CS/Engineering/related field

Job description

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.

The Sr. Director of AI & Data Engineering leads the architecture, design, development, and implementation of end-to-end data and AI products across the Finance, Procurement and Supply Chain organization and will establish excellence strategically and operationally as we deliver on the following -

• Establishing scalable patterns aligned with T-Mobile northstar architecture
• Data Ingest / Egress (pipeline development and system integrations)
• Data Product Development (against a data model reflecting FP&SC business process)
• Data Platform Development (enhancing FP&SC COE's Lakehouse to continue to follow best practices)

In this capacity, the Sr. Director is focused on supporting business decisions through the sustainment of existing platforms and the development and deployment of intelligent data products, platforms, capabilities, architectures, information products and AI products that drive business outcomes.

Un-carrier® Responsibilities

• Lead the architecture, design, development, and implementation of production ready solutions, ensuring they are robust, scalable, and secure in the cloud using defined enterprise design patterns.
• Establish and drive the strategic direction for end-to-end information solutions in alignment with strategic priorities and enterprise direction; and l ead a leadership team in solving enterprise issues concerning information management to improve information quality, reliability, and scalability.
• Promote the development of innovative products, such as AI, in collaboration with business and technology stakeholders.
• Support investigation of new software packages/vendors, platforms, and capabilities to deliver quality, reliable, and scalable information, and AI products.
• Lead and support other business initiatives across the team with flexibility and a willingness to pitch and bring added value.

The Experience You'll Bring

• Activate vision & strategy: Demonstrated success building and leading vision, strategy, and execution of foundational data and information product initiatives, including experience with driving successful platform adoption programs, with the ability to demonstrate the business impact of such initiatives. Assess the business impact of different solutions and the trade-offs between customer needs, technology requirements and costs.
• Data driven mindset: you know that everything built must be measured to understand its impact on the business and drive your teams to build with that in mind. Experience facilitating data driven decisions is critical as you analyze, plan, and manage the development of information products. A deep understanding and passion for solving complex system and data challenges and desire to thrive in a constantly innovating, changing and collaborative environment.
• Customer centricity: you understand that customer behavior and sentiment must be well understood to effectively build products for them, so you'll bring a proven ability to collaborate with cross-functional teams, including IT and operational business partners, to identify data requirements and ensure data availability for various stakeholders.
• Best practice approach: Experience developing and implementing large scalable systems, best practices and standards for data management, governance, and security, and have a strong understanding of industry standards and regulations to establish and maintain policies, standards, and procedures to ensure data and reporting quality and integrity.
• Build, manage, 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.
• Bachelor's or master's degree in computer science, Engineering, or a related field.
• 10-15+ years of experience in leading strategy, innovation, and architecting data projects and products.
• 10+ years of experience in a technical field, AI, data science, and analytics.
• 7+ years proven experience in a leadership role in data engineering and architecture, focusing on end-to-end data product strategy.
• 7+ years advanced knowledge of data tools, te