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Sr. Product Manager – Digital Data Collection & Automation

Job in Bellevue, King County, Washington, 98009, USA
Listing for: T-Mobile
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 121600 - 219400 USD Yearly USD 121600.00 219400.00 YEAR
Job Description & How to Apply Below

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package – this is Total Rewards. Employees enjoy multiple wealth‑building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year‑round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Job

Overview

The Sr Product Manager is a visionary, strategist, analyst, customer evangelist, respected leader of execution, and professional relationship builder all rolled into a single dynamic package. Every product at T-Mobile is envisioned and created to achieve a specific business purpose or set of business results. The Sr Product Manager is ultimately accountable, responsible, and has ownership of T‑Mobile’s internal and external products, platforms, services, experiences envisioned and created to achieve the specific business purpose or business results.

At a high level this means identifying the intersection of customer problems/unmet needs (an opportunity), technical feasibility, business objectives, securing funding, and leading a cross‑functional team as well as key stakeholders to deliver against the opportunity. Sr Product Manager is a “jack‑of‑all‑trades” leveraging deep customer empathy, strategic thinking, commercial, analytical, and leadership prowess to successfully deliver delightful and differentiated products that drive growth and positively impact customers lives.

Job Responsibilities
  • Own the product strategy and roadmap for analytics automation and event telemetry, aligning data collection frameworks with business KPIs.
  • Define and prioritize requirements for AI/LLM‑driven workflows to automate analytics event specifications and validation for digital platforms (app/web).
  • Partner with engineering, data, and analytics teams to deliver scalable, cross‑platform event schemas and standards (web, app, SDKs, backend).
  • Evangelize automation‑first analytics practices, driving adoption across product and engineering teams.
  • Define success metrics and measure the impact of automated tagging and data governance initiatives.
  • Build strong partnerships with data analysts and engineers to ensure accurate, scalable, and consistent event tracking across billions of daily events.
  • Influence cross‑functional stakeholders by translating complex technical concepts into clear business value.
  • Continuously scan industry and AI/analytics trends, bringing innovation into the product strategy.
  • Support go‑to‑market activities by ensuring product, analytics, and leadership stakeholders have access to reliable data.
Education & Work Experience
  • Bachelor’s Degree (Required)
  • 7+ years of product management experience with strong exposure to data/analytics products.
Knowledge, Skills & Abilities
  • Experience building or managing AI- or LLM-powered products, including prompt design and automation workflows.
  • Strong understanding of digital analytics platforms (Adobe Analytics, Adobe Experience Platform, Power BI) and telemetry standards.
  • Proven track record of leading cross‑functional teams and driving alignment across product, engineering, and data organizations.
  • Proven experience defining analytics event schemas and telemetry structures across web, mobile, and backend platforms, including translating business requirements into scalable event definitions, parameters, and metadata standards.
  • Excellent communication and storytelling skills, with the ability to influence executives and technical teams alike.
  • Strong analytical mindset with ability to use data to define priorities, measure success, and drive continuous improvement.
  • Familiarity with event schema design, QA, and governance frameworks for analytics data preferred.
  • Experience with SQL, Python is required.
Licenses & Certifications
  • At least 18 years of age
  • Legally authorized to work in the United States
Travel

Travel Required:

Yes
DOT Regulated:
No
Safety Sensitive:
No

Compensation & Benefits

Base Pay Range: $121,600 – $219,400
Corporate Bonus Target: 20%
The pay range above is the general base pay range for a successful candidate in the role.…

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