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Job Overview
The Principal Product Manager, Technical within T-Mobile's Data & AI organization is a visionary, strategist, analyst, customer evangelist, respected leader of business and technology execution, and professional relationship builder-all rolled into a single dynamic package. This role is instrumental in advancing T-Mobile's data monetization strategy, with a strong focus on leveraging 1st-party data assets and AI-driven innovation to create high-impact data products for both internal business units and external customers. The Principal Product Manager is ultimately accountable for discovering and delivering opportunities that lie at the intersection of customer needs, technical feasibility, AI-driven capabilities, and business objectives. The ideal candidate will bring strong experience in product management within data platforms or AI/ML-driven systems, and a proven track record to work cross-functionally with engineering, data science, privacy, legal, sales, and go-to-market teams.
Job Responsibilities:
Vision, Strategy, and Analysis
Leads the end-to-end product lifecycle for advanced data and AI-powered solutions with significant complexity and enterprise impact-particularly those monetizing T-Mobile's 1st-party data assets.
Develops and maintains a strategic product vision and strategy aligned with Data & AI initiatives, including AI-driven personalization, predictive analytics, and customer intelligence capabilities.
Leads user and stakeholder research to identify new monetization and innovation opportunities within internal and external data use cases.
Uses quantitative and qualitative data to assess opportunity size, uncover root causes, and inform product decisions-often partnering with data scientists to extract deeper insights using AI/ML methods.
*Monitors industry and emerging AI/ML trends, evaluating their relevance to T-Mobile's evolving data product portfolio.
Engages with ecosystem partners to evaluate data licensing, AI partnerships, and third-party enrichment strategies.
Product Execution & Technical Delivery
Leads translation of complex data strategies into product requirements, epics, and user stories optimized for high-velocity Agile teams-frequently building prototypes for advanced AI and data experiences.
Partners closely with Data Engineering, MLOps, Platform Architecture, and Product Owners to ensure scalable, performant delivery of AI-powered services.
Tracks and reports on KPIs and OKRs related to product adoption, data monetization performance, AI model health, and operational uptime.
Owns release planning, customer onboarding, and go-to-market strategy for new AI and data capabilities, working cross-functionally with marketing, sales, privacy, and customer success.
Supports production monitoring and escalation processes to ensure reliability of AI models and data products in real-world scenarios, especially for high-impact defects or customer-facing incidents.
Drives internal enablement and adoption through the creation of training materials, operational playbooks, and stakeholder documentation.
Promotes and embeds core agile and lean product development practices, including CICD, DevOps for AI (MLOps), iterative delivery, and cross-functional collaboration.
Education and Work Experience:
Bachelor's Degree Computer Science, Engineering, IT or equivalent experience. (Required)
8+ years' experience in hands on technical role writing production code, solution
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