AI Security & Governance

Role Overview:

This role leads and shapes complex, security-related business processes, and systems, with a strong emphasis on enterprise AI security, governance, and risk management. The position defines and implements the organization s AI security and governance strategy, ensuring AI systems are designed, deployed, and operated securely, ethically, and in compliance with evolving regulatory frameworks.

Key Responsibilities :

• Lead and define enterprise AI security and governance strategy, including AI threat modeling, secure model development standards, and end-to-end AI lifecycle governance
• Shape and embed security-by-design principles across AI/ML systems, data pipelines, and MLOps/LLMOps platforms
• Act as the primary liaison between Information Security, AI/ML engineering, DevSecOps, enterprise architecture, legal, compliance, and non-technical business stakeholders
• Translate AI security risks and technical requirements (e.g., adversarial ML, model drift, data poisoning, regulatory obligations) into clear business impacts, policy guidance, and executive-level messaging
• Provide leadership and oversight for large, high-visibility, cross-functional AI initiatives, including AI risk assessments, governance forums, and security reviews
• Represent AI security in enterprise governance committees, executive briefings, and regulatory or audit discussions
• Oversee AI red-teaming, threat assessments, and control validation to ensure AI systems meet security, privacy, and compliance requirements
• Ensure enterprise alignment with major AI and security frameworks, including NIST AI RMF, EU AI Act, ISO/IEC 42001, and related standards
• Partner with technology and business leaders to ensure AI-enabled solutions deliver measurable business value while managing risk appropriately

Additional Emphasis for Role Targeting:

• Requires deep AI/ML technical acumen combined with senior cybersecurity leadership experience
• Proven ability to build AI governance and security programs from the ground up, not just operate existing InfoSec processes

Strong understanding of:

• Adversarial machine learning and model protection techniques
• AI/ML infrastructure security
• MLOps and LLMOps security controls
• Emerging AI risk, ethics, and regulatory frameworks
• Ability to influence strategy and execution across large, complex, enterprise-wide initiatives

Basic Qualifications:

• Bachelor s degree or equivalent combination of education and experience
• Bachelor s degree in business administration, Information Systems, or a related field preferred
• 12+ years of experience
• Extensive experience working at the intersection of business functions and information technology
• Strong background in business process analysis and re-engineering

Required Skills:

• Strong analytical and problem-solving skills. Strong Information security and AI/ML skills
• Excellent written, verbal, and presentation skills
• Ability to translate technical language into business-focused messaging
• Strong stakeholder management and interpersonal skills
• Ability to lead and collaborate effectively in a team environment
• Proven ability to manage multiple initiatives simultaneously

Preferred Qualifications:

• Experience leading large, complex, multi-system initiatives
• Familiarity with enterprise architecture and solution design concepts
• Experience mentoring or leading business analyst teams