Product Owner- AI [T500-22300]

About T-Mobile:

T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is Americas supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.

About TMUS Global Solutions:

TMUS Global Solutions is a world-class technology powerhouse accelerating the companys global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

TMUS India Private Limited operates as TMUS Global Solutions.

Product Owner:

This role is essential for owning and shaping the Agile team backlog to deliver high-quality product and data capabilities aligned to business priorities. The Product Owner operates in a builder culture , actively using AI tools and data storytelling techniques in daily work to refine requirements, validate assumptions, and influence decisions. The role defines, prioritizes, and clarifies user stories while ensuring technical, semantic, and analytical integrity across one or two Agile teams. Acting as the primary liaison between stakeholders and delivery teams, this role translates complex data and AI insights into clear, actionable narratives through effective visualization and ensures work is ready, valuable, and aligned to outcomes and that delivery status, risks, and timeline impacts are clearly communicated and managed. Success is measured by backlog readiness, sprint execution efficiency, adoption of delivered capabilities, and improved speed-to-value through data-informed decisions and timely transparent communication of delivery progress and delays.

Main Responsibilities:

• Build, refine, and prioritize the Agile team backlog to maintain at least two iterations of ready work, using AI tools to accelerate story drafting, refinement, and impact analysis and early identification of scope, dependency, and timeline risks
• Collaborate with Agile teams and stakeholders to define user stories with clear acceptance criteria, leveraging AI-assisted techniques to improve clarity, completeness, and testability while setting clear expectations on scope, sequencing, and delivery timelines
• Define and deliver data visualizations and dashboards (e.g., Power BI, Tableau) that translate analytics and AI outputs into actionable insights aligned to product outcomes
• Review and accept completed user stories each sprint, ensuring they meet acceptance criteria, quality standards, and intended business value
• Coordinate user story, technical, and product dependencies with other Product Owners during iterations and program increments, using data and AI-driven insights to support alignment
• Perform other duties or projects as assigned to support evolving business and product needs

Required Minimum Qualifications:

• Bachelors Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience

Experience Details:

• 4+ years of Product Management, Product Owner, Business Analyst, Systems Analyst, or Software Engineering experience in an Agile product development environment
• 2+ years delivering software using Agile Scrum methodologies and commonly used Agile tools

KNOWLEDGE, SKILLS, AND ABILITIES:

Core Product & Agile Skills:

Technical Writing:

• Strong requirements elicitation and writing skills, including the ability to use AI tools to draft and refine requirements for different audiences
• Agile Product Management: Experience managing Agile backlogs and delivery workflows using industry-standard tools and practices
• Communication & Influence: Proven ability to communicate effectively with leadership, technical, and non-technical stakeholders including proactive status updates, risk escalation and clear communication of delivery delays and recovery plans

Delivery & Risk:

• Management Ability to proactively identify delivery risks, manage trade-offs, and ensure timely communication and escalation when timelines, scope, or dependencies are at risk

Data Storytelling & Visualization (Required):

Data Storytelling:

• Strong ability to connect business context, analytics, and AI-driven insights into clear narratives that drive alignment and decisions

Data Visualization:

• Hands-on experience designing, interpreting, and delivering dashboards and reports using Power BI, Tableau, or equivalent BI tools

Insight Translation:

• Ability to translate complex datasets and model outputs into intuitive visual formats that inform prioritization, roadmap decisions, and value realization

Cross-Functional Analytics Collaboration:

• Experience partnering with data engineers, data scientists, and analytics teams to ensure visualizations accurately reflect underlying data and business logi

AI & Advanced Analytics Fluency

AI-Enabled Product Work:

• Demonstrated ability to use AI tools daily for analysis, requirement refinement, storytelling, and decision support

Advanced Analytics Communication:

• Ability to communicate insights from advanced analytics and AI models in a way that enables leaders to understand drivers, trends, and recommendations