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Technical Manager - Cyber Risk Management

CMU AI · Pittsburgh, PA

Research instituteonsitemanager
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At a glance

Highlights

  • Lead the Cyber Risk Management team shaping operational resilience research.
  • Design and prototype novel risk methods for government and industry partners.
  • Drive quantifiable risk reduction supporting cyber-dependent missions.

What they offer

  • Comprehensive medical, prescription, dental, and vision insurance
  • Generous retirement savings program with employer contributions
  • Tuition benefits
  • Paid time off and observed holidays
  • Life and accidental death and disability insurance
  • Free Pittsburgh Regional Transit bus pass
  • Family Concierge Team and fitness center access

Ideal candidate

Seasoned risk and resilience leader with 10 years guiding technical teams for federal missions. Self-directed, interdisciplinary problem-solver who communicates with executives and thrives building research agendas into real impact.

Requirements

  • BS in risk management, cybersecurity, information systems, economics, mathematics or related technical field
  • 10 years as enterprise risk executive, manager, or investigator in risk management research
  • Expert knowledge of risk quantification tools, frameworks, standards, and governance
  • Knowledge of network architectures, cybersecurity, resilience, and AI fundamentals
  • Experience with USG and DoW risk tools, strategies, policies, and directives
  • Proven experience leading technical teams and managing project finances
  • Outstanding written and oral communication and presentation skills
  • Ability to obtain and maintain Department of War security clearance

Lab profile

About CMU AI

Carnegie Mellon applied AI research spanning robotics, autonomy, and cybersecurity for defense.

What they build

  • Multimodal behavior analysis algorithms
  • Autonomy systems
  • Cybersecurity analytics prototypes

Known for

  • Multimodal machine learning
  • Computer vision and human behavior modeling
  • AI engineering for defense
  • Software engineering and cyber resilience
More about CMU AI →
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