Sr Product Manager, Technical - AI Governance Control Products

T-Mobile•Bellevue, WA

About The Position

This role focuses on transforming T-Mobile's AI governance processes into user-friendly products for employees. While governance bodies retain decision-making authority on aspects like model release gates, exception approvals, incident escalation, and oversight requirements, this position is responsible for the user experience of these processes. This includes creating a clear release calendar for planning, a straightforward exception request system with timely feedback, an accessible incident reporting mechanism, and presenting oversight measures in an actionable format for leaders. The role operates like any product, involving a roadmap, backlog management, and continuous iteration based on evolving models, threats, and regulations. Success is defined by governance processes that employees perceive as clear and efficient, with published cycle-time SLAs demonstrating that governance accelerates rather than hinders work.

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience.
Acceptable areas of study include Computer Science, Engineering, IT or equivalent experience.
6+ years of technical product management or solution engineering experience, ideally in a platform, compliance, workflow automation, or governance context.
7+ years of relevant Product Management experience in an agile software product development environment.
Advanced-level understanding of customer experience.
Agile Methodology
Backlog Management
Customer Centricity
Data Analysis
Problem Solving
Product Management
Product Roadmap
Stakeholder Management
Strategic Alignment
Compliance & Audit Process Knowledge
SLA & Cycle-Time Measurement
AI Governance & Risk Management
Process Design & Automation
Executive Reporting
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001, SOX)
Experience with workflow automation or intake tooling platforms
Knowledge of enterprise AI platforms (Claude, OpenAI, LLM gateway)
Prior experience in a regulated industry, legal/compliance function, or audit-adjacent role
Certified Scrum Master (CSM) / Scrum Product Owner (CSPO)
Agile Certified Practitioner (PMI-ACP)

Responsibilities

Productize the model release process for employees, including the release calendar, changes, and preparation guidance, while governance bodies and Cybersecurity retain release decisions.
Own the exception and waiver request experience, defining complete request criteria and providing status visibility through decision, with approval authority remaining with the owning pillar.
Own the incident intake and communication experience, enabling anyone to report AI misbehavior and sharing status and lessons learned, aligned with the response process defined by the bodies.
Present oversight-effectiveness measures, such as override rates, review times, and outlier approvers, to the Steering Committee in a format that enables leaders to take action.
Maintain visibility of process cycle-time SLAs to demonstrate that governance does not impede work, and publish override rates, review times, and outlier approvers to the AI Steering Committee.
Partner with Legal, Cyber, SOX, and Privacy to ensure governance control products remain current with evolving regulations, model risk, and AI policy.
Collaborate with the AI Hub build engineer and platform teams to automate governance workflows, reducing manual steps in release gating, exception routing, and incident intake.
Manage the product backlog, roadmap, and Agile ceremonies for governance control products.
Perform other duties and projects as assigned by business management.