AI Security Risk Manager

Overview

On Site
$70 - $85
Contract - W2
Contract - 12 Month(s)

Skills

Artificial Intelligence
AI
AI/ML
Cyber Security
IT Risk
Data Governance
FFIEC
ISACA
CISM
CISSP
Cloud Computing
Risk Management
ISO/IEC 27001:2005

Job Details

W2 candidates only

** Onsite in Southlake, TX 4 days a week**

Contractor AI Security risk Manager

- Financial regulation experience preferred

Typical day in the Role/ Background required:

- Handling all of the Governance insights

- Contractor vendor Management

- Designing and implementing AI risk controls

- Specific to cybersecurity risk assessments

- Cybersecurity AI use cases (Where are the Blockers? Etc )

Interview Process:

- 1 round with HM and a team member- looking to move quickly

- Interview will be focused on the AI technology

Selling Points:

- Assist in navigating an enterprise level organization into new AI space

- Potential for long -term opportunity

Job Description:

Key Responsibilities:

  • Identify, assess, and monitor risks associated with AI systems, including model integrity, adversarial attacks, data poisoning, and privacy concerns.
  • Design and implement controls to mitigate AI-related risks, including model validation, explainability, and secure data handling.
  • Ensure adherence to internal policies and external regulations (e.g., FFIEC, NIST AI RMF, EU AI Act).
  • Support audits and regulatory examinations related to AI and cybersecurity risk.
  • Develop key risk indicators (KRIs) and metrics to monitor AI security posture.
  • Provide regular reporting to senior leadership and risk committees on AI risk trends and mitigation efforts.
  • Stay current with emerging AI threats, technologies, and best practices.

Qualifications:

  • Bachelor s or Master s degree in Cybersecurity, Computer Science, Risk Management, or related field.
  • 7+ years of experience in technology risk or cybersecurity, with at least 2 years focused on AI/ML systems.
  • Strong understanding of AI/ML lifecycle, model governance, and security implications.
  • Familiarity with financial industry regulations and risk frameworks (e.g., NIST, ISO 27001, COSO, FFIEC).
  • Experience with cloud platforms, data governance, and secure software development practices.
  • Excellent communication, analytical, and leadership skills.

Preferred Certifications:

  • CRISC, CISSP, CISM, or equivalent
  • AI-specific certifications (e.g., Certified AI Risk Management Professional)
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