Senior AI Intake & Governance Analyst

T-Mobile; Bellevue (WA); On-site; USD 120,000 - 162,000; Full time

Benefits offered by this job

Annual stock grant

Employee stock purchase plan

401(k) plan

Paid time off and holidays

Job summary

T-Mobile seeks an experienced governance and risk professional to lead AI intake assessments, determine data implications, and coordinate with SOX, TPRM, Cyber, Data Privacy, and Legal teams at pace.

You will partner with IT and business stakeholders to document impacts, maintain records, and help shape AI governance standards while contributing to risk controls across the organization.

Qualifications

• Bachelor's Degree or Advanced Degree in Computer Science or related field.
• 5+ years of related work experience in risk, governance, or tech intake.
• Experience evaluating technology requests for risk in an enterprise setting.
• Working knowledge of SOX, third-party risk, cybersecurity, data privacy or legal reviews.
• Hands-on familiarity with AI and generative AI systems and data usage.

Responsibilities

• Evaluate AI intake: technology, data, risks and context.
• Engage SOX, TPRM, Cyber, Data Privacy, Legal for reviews and approvals.
• Collaborate with IT and partners to analyze impacts and communicate status.
• Keep intake records complete for AI inventory and governance.
• Contribute to AI governance standards and pull audit evidence.
• Handle other duties as assigned by management.

Skills

Agile Methodology

Mentorship

Microservices Architecture

Requirements Analysis

SQL Database Design

SDLC

Stakeholder Management

System Implementations

Technical Writing

Troubleshooting

Education

Bachelor's Degree or Advanced Degree in CS/Related Field

Tools

AI Governance Tools

Data Privacy Tools

Job description

T-Mobile seeks an experienced governance and risk professional to lead AI intake assessments, determine data implications, and coordinate with SOX, TPRM, Cyber, Data Privacy, and Legal teams at pace.

You will partner with IT and business stakeholders to document impacts, maintain records, and help shape AI governance standards while contributing to risk controls across the organization.