AI-Driven Enterprise Risk Leader

T-Mobile; Bellevue (WA); On-site; USD 77,300 - 139,500; Full time

Benefits offered by this job

Annual stock grant

Employee stock purchase plan

Paid time off

401(k)

Job summary

T-Mobile is seeking a Senior Enterprise Risk Manager in the Bellevue area to lead risk programs, develop scalable processes, and partner with governance and executive teams. The role focuses on assessing risks to financial condition and operations and ensuring effective reporting to protect shareholder value.

The successful candidate will drive risk strategies, mentor staff, and utilize AI tools to enhance risk identification and monitoring in a large corporate environment.

Qualifications

• Bachelor’s degree or advanced degree with related work experience.
• Experience in risk management and governance roles is required.
• Strong communication, leadership, and analytical skills essential.

Responsibilities

• Lead enterprise risk management programs and reporting to governance bodies.
• Leverage AI-enabled tools to strengthen risk identification, monitoring, and reporting.
• Develop and recommend improvements to risk programs affecting shareholder value.
• Consult with executive leadership on enterprise risks and response strategies.
• Facilitate creation and approval of risk treatment plans and communicate solutions.
• Provide guidance and coaching to junior staff on risk practices.

Skills

Analytical Thinking

Business Acumen

Communication

Corporate Governance – Risk and Contro

Enterprise Leadership

Leadership

Mentorship

Risk Management

Education

Bachelor’s Degree + 3 years experience OR advanced degree

Tools

SQL

Power BI

AI tools (ChatGPT/Claude)

Job description

T-Mobile is seeking a Senior Enterprise Risk Manager in the Bellevue area to lead risk programs, develop scalable processes, and partner with governance and executive teams. The role focuses on assessing risks to financial condition and operations and ensuring effective reporting to protect shareholder value.

The successful candidate will drive risk strategies, mentor staff, and utilize AI tools to enhance risk identification and monitoring in a large corporate environment.