
Artificial Intelligence Cybersecurity Risk Management Professional
2 days ago
Cybersecurity and artificial intelligence (AI) risk management are critical components of modern business operations. As an AI cybersecurity risk management expert, you will play a key role in developing and implementing tailored frameworks to mitigate risks associated with AI adoption.
This role offers the opportunity to work with senior executives across diverse industries, developing strategic cybersecurity and AI risk management plans while delivering high-value consulting services.
Key Responsibilities:
- AI Cybersecurity Framework Development
- Design and implement customized AI risk management frameworks (ISO 27001, ISO 42001, NIST CSF, NIST AI RMF, etc.)
- Facilitate executive-level workshops to identify industry-specific AI-related risks and mitigation strategies
- Provide expert guidance on AI GRC infrastructures to develop sustainable technology and risk management strategies
Technical Excellence:
- Apply advanced AI and cybersecurity principles to client engagements
- Develop high-quality documentation and contribute to intellectual property development
- Translate complex technical concepts into business-friendly language for diverse audiences
Required Skills & Expertise:
- Technical Knowledge:
- Deep expertise in AI and cybersecurity frameworks: ISO 27001, NIST CSF, NIST SP 800-53, NYDFS, PCIDSS, FFIEC, MAS, SWIFT
- Comprehensive understanding of information security principles, techniques, and architecture
- Current knowledge of emerging AI and cybersecurity developments and capabilities
- Qualifications:
- Bachelor's or Master's degree in Technology, Engineering, or Business Studies
- Information security major/minor preferred
- Strong interest in AI risk, security, and governance
- Experience:
- 3-7 years of consulting experience with proven expertise in:
- Building agentic AI solutions for Cybersecurity
- Good knowledge of new AI and cybersecurity services developments
- Hands-on experience in full life cycle
- Functional knowledge of one or more commonly used platforms to build and review AI and AI-enabled systems
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