Director

Description:

Leads and directs strategic cost and revenue improvement through major company initiatives to deliver long-term improvements to the organization's performance. Matrix manages cross-functional teams to rapidly and effectively complete, implement, and monitor complex business cases and cost reduction initiatives. Partners with business unit executive leaders and 3rd party consulting experts to drive expense savings in both near-term tactics and long-term transformational change. Identifies and drives plans for best-in-class operating models and enablers (systems, tools, methods, etc.) to improve both efficiency and effectiveness. Ensures continuous monitoring, communication, and issue resolution occurs in conjunction with the Office of Transformation for accountability and governance of BU specific targets and plans.
Un-carrier® Responsibilities

Partner with the business: Work with business stakeholders to understand current and anticipate future customer and business needs, understand requirements, and define relevant strategic questions to define strategy, opportunity, roadmap, and priorities.
Develop, execute, and refine the AI strategy and vision: Collaborate with IT, Data, and other cross-functional teams and leadership to develop and execute the AI strategy, align it with corporate objectives, identify core transformational activities, prioritize processes for AI integration, and continuously refine the AI strategy based on evolving business needs and technological advancements.
Drive AI business integration: Engage with business leadership and stakeholders to promote the AI vision, facilitate the design of processes for AI integration, champion AI initiatives across the organization, secure support, and drive adoption and change management.
Develop and maintain AI governance frameworks: Establish and evolve governance frameworks for ethical and responsible AI usage, integrate best-of-class principles for AI application and integration, and address issues related to data privacy, security, and bias in AI implementation. Shape the positive impact on culture and employees through data-driven and AI-enabled decision practices.
Measure and deliver value: Establish a value measurement framework that can be used to influence prioritization as well as monitoring and measuring the monetization of AI use cases. Establish KPIs and metrics to track performance of AI products. Identifying opportunities for advanced analytics, machine learnings, and generative AI to drive step change performance improvements, developing business cases, and leading execution teams comprised of cross-functional leaders and subject matter experts.
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 degree in computer science, engineering, mathematics, business, statistics, economics, or a related field. Master's degree in a relevant field or an MBA is preferred.
10+ 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, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.
Ability to navigate the organization, roles, and functions of relevant groups within T-Mobile, as well as organizational change management.
Proven track record of driving strategy and business integration in a complex business environment.
Strong business acumen and knowledge.
Manage communication with senior leadership on product delivery and roadmap. Promote T-Mobile FP&SC AI capabilities through presentations, attendance at industry conferences, participation in reputed advisory boards, and thought leadership articles/papers.
At least 18 years of age
Legally authorized to work in the United States