
AI Risk Management Cybersecurity Consultant
1 week ago
About the Role
We are seeking a dynamic cybersecurity and risk management consultant to join our team. This role offers the opportunity to work with senior executives across diverse industries, developing tailored cybersecurity and AI risk management frameworks while delivering high-value consulting services.
Key Responsibilities- Design and implement customized cybersecurity and AI risk management frameworks (ISO 27001, ISO 42001, NIST CSF, NIST AI RMF)
- Facilitate executive-level workshops to identify industry-specific risks and mitigation strategies
- Serve clients across various sectors including Healthcare, Life Sciences, Technology, Insurance, and Financial Services
- Analyze cybersecurity and AI GRC infrastructures to develop sustainable technology and risk management strategies
- Apply advanced cybersecurity and AI 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
- Deep expertise in 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 cybersecurity and AI GRC developments and capabilities
- Bachelor's or Master's degree in Technology, Engineering, or Business Studies
- Information security major/minor preferred
- Strong interest in technology risk, security, and AI governance
- 3-7 years of consulting experience with proven expertise in building agentic AI solutions for Cybersecurity
- Good knowledge of new cybersecurity and AI GRC services developments
- Copilot Studio, Vertex AI, Bedrock, AI Foundry, and other open-source models
- Hands-on experience in full life cycle
- Strong fundamental knowledge of using AI tools to deliver Cyber and AI GRC processes and capabilities
- Functional knowledge of one or more commonly used platforms (e.g., Azure AI Foundry, Vertex AI) to build and review AI and AI-enabled systems
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