AI Cybersecurity Governance Consultant

Job Description:

Overview:

We are seeking an experienced AI Cybersecurity Governance Consultant to lead the implementation, and oversight of governance structures, risk policies, and compliance protocols related to enterprise-wide adoption of Artificial Intelligence (AI) technologies. This role sits at the intersection of AI innovation and information security, ensuring responsible and secure AI deployment across the organization.

Key Responsibilities:

• Governance & Policy Development
• Implement and enforce governance frameworks, standards, and procedures for the secure and ethical use of AI and ML technologies.
• Draft and implement AI-specific cybersecurity policies that align with NIST, ISO 27001, and emerging global AI regulations (e.g., EU AI Act, U.S. Executive Orders).
• Establish guidelines for the responsible sourcing, training, and use of AI models including LLMs within business use cases.
• AI Risk Management & Compliance
• Identify and assess cyber risks associated with AI/ML systems (e.g., adversarial AI, model poisoning, data privacy risks).
• Work with Legal, Risk, and Compliance teams to ensure all AI implementations are auditable, explainable, and compliant.
• Conduct impact assessments (AIA/PIA) and define acceptable use policies for generative AI tools (e.g., ChatGPT, GitHub Copilot, etc.).
• Security Architecture & Controls
• Collaborate with IT, InfoSec, and Data Science teams to integrate security controls into the AI lifecycle (training, deployment, monitoring).
• Recommend and oversee implementation of AI-specific threat detection, model monitoring, and access control mechanisms.
• Implement zero-trust approaches for AI APIs, cloud-hosted models, and federated learning architectures.
• Training, Communication, and Oversight
• Develop enterprise training programs and awareness initiatives related to secure AI usage.
• Serve as the subject matter expert on AI cybersecurity in steering committees and executive governance boards.
• Stay ahead of technological trends and evolving global AI security frameworks.

Required Skills & Experience:

• 10+ years of cybersecurity, risk, or compliance experience, with specific focus on AI/ML technologies in the last 2 3 years.
• Proven track record implementing security policies and governance structures in large, regulated environments (preferably in financial services, healthcare, or government sectors).
• Experience with AI/ML environments and platforms (e.g., TensorFlow, PyTorch, Azure OpenAI, AWS SageMaker, Google Cloud Platform Vertex AI).
• Familiarity with regulatory frameworks: NIST AI RMF, ISO/IEC 23894, GDPR, SOC2, HIPAA, etc.
• Deep understanding of AI-specific cyber threats such as model leakage, prompt injection, adversarial attacks, and shadow AI.
• Strong communication and stakeholder management skills; ability to liaise between technical and business units.
• Experience with ServiceNow GRC, SaaS governance, or cloud security posture management (CSPM) tools a plus.

Education & Certifications:

• Bachelor's or Master's in Computer Science, Cybersecurity, AI, or related field.
• Relevant certifications (e.g., CISSP, CCSP, CISA, AI Governance Professional, Certified AI Ethics Professional, etc.) highly desirable.