AI Cybersecurity Governance Consultant

AI Cybersecurity Governance Consultant

Required Location: Hybrid/Springfield, MA, Boston, MA, or New York City, NY (ONLY LOCALS)

*** We need: A senior (10 years) 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. ****THIS RESOURCE WILL BE AN AI CYBER SECURITY SPECIALIST WHO WILL BE IN CHARGE OF SETTING AI SECURITY PROTOCOLS, CREATING STANDARDS/GOVERNANCE, CHOOSING ACCEPTABLE THIRD-PARTY APPLICATIONS (CHATGBT) AND ENFORCING THOSE PROTOCOLS FOR THE SAFETY OF THE ENTERPRISE.

· 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, GCP Vertex AI).

· Familiarity with regulatory frameworks: NIST AI RMF, ISO/IEC 23894, GDPR, SOC2, HIPAA, etc.

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, GCP 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.

Job Types: Full-time, Contract

Pay: $125,519.23 - $160,000.00 per year

Work Location: In person

Salary : $125,519 - $160,000