Our client is at the forefront of innovation, helping organizations navigate the rapidly evolving landscape of artificial intelligence. As an AI Risk Advisory Consultant, you’ll play a pivotal role in guiding enterprises to harness the power of AI responsibly, mitigating risks while driving business value. If you’re passionate about emerging technologies and have a background in Cyber Security Consulting or Enterprise Risk, we want you on our team.
Your Role :
As an AI Risk Advisory Consultant, you will collaborate with clients across industries to design, implement, and manage frameworks that address the risks associated with AI and machine learning systems. You'll act as a trusted advisor, ensuring that AI adoption aligns with ethical standards, regulatory requirements, and organizational objectives.
What You’ll Do :
- Risk Assessment & Strategy Development : Evaluate AI systems for potential risks, including data privacy, algorithmic bias, cybersecurity threats, and compliance challenges. Develop tailored risk management strategies to address these areas.
- Advisory & Consulting : Provide expert guidance on AI governance, regulatory compliance, and ethical AI practices to executive teams and key stakeholders.
- Policy & Framework Design : Help clients establish robust AI governance policies, integrating enterprise risk management and cybersecurity principles.
- Incident Management : Assist clients in preparing for and responding to AI-related incidents, including data breaches, adversarial attacks, and system failures.
- Cross-Functional Collaboration : Work closely with data scientists, engineers, legal teams, and business leaders to ensure a comprehensive approach to AI risk management.
- Thought Leadership : Stay updated on AI trends, risks, and regulations. Contribute to white papers, webinars, and other thought leadership initiatives to position our client as a leader in AI risk advisory.
What We’re Looking For :
A strong background in Cyber Security Consulting , Enterprise Risk , or a related field. Experience in AI or data governance is a plus.Familiarity with frameworks such as NIST AI RMF, ISO / IEC 27001, or GDPR / CCPA.Understanding of machine learning principles, data ethics, and algorithmic transparency.Exceptional analytical skills and the ability to assess complex systems for potential vulnerabilities.Strong communication skills with the ability to translate technical concepts into actionable insights for non-technical audiences.A proactive mindset with a passion for problem-solving and innovation.