Senior Enterprise Risk Manager: AI-Driven Oversight

T-MOBILE USA, Inc.

Bellevue (WA)

On-site

USD 77,300 - 139,500

Full time

14 days+

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Benefits offered by this job

401(k)
Stock Purchase Plan
Medical, Dental, Vision Insurance
Paid Time Off
Tuition Assistance

Job summary

T-Mobile USA, Inc. is seeking a candidate to manage enterprise risk programs and ensure comprehensive risk oversight. In this role, you will leverage AI-enabled tools and collaborate with executive leadership to evaluate risks and recommend responses.

The position involves developing risk treatment plans and improving overall risk management practices. Successful candidates will have strong analytical skills and experience in corporate environments.

Qualifications

  • Bachelor's Degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR equivalent.
  • 7-10 years professional experience in a large corporate environment in operations, finance, legal, audit or risk management.
  • 2-4 years experience leading cross-functional initiatives, projects and/or programs.

Responsibilities

  • Lead enterprise risk management programs and reporting to governance bodies.
  • Leverage AI-enabled tools and analytics for risk identification and reporting.
  • Develop and recommend improvements to risk programs.
  • Consult with executive leadership on enterprise risks and response strategies.
  • Facilitate creation and approval of risk treatment plans.

Skills

Analytical Thinking
Business Acumen
Communication
Corporate Governance - Risk and Codes
Enterprise Leadership
Leadership
Mentorship
Risk Management
Risk Management Framework
SQL
Power BI
AI tools - ChatGPT or Claude

Education

Bachelor's Degree or equivalent experience

Job description

T-Mobile USA, Inc. is seeking a candidate to manage enterprise risk programs and ensure comprehensive risk oversight. In this role, you will leverage AI-enabled tools and collaborate with executive leadership to evaluate risks and recommend responses.

The position involves developing risk treatment plans and improving overall risk management practices. Successful candidates will have strong analytical skills and experience in corporate environments.

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