Information Risk Analyst - AI

Information Risk Analyst – AI

The AI Information Risk Analyst will be responsible for identifying, evaluating, and mitigating risks associated with the use of generative AI technologies in our organization. This role requires a blend of technical expertise, analytical skills, and strong ethical judgment to ensure that our AI initiatives are both effective and compliant with regulatory standards.

Location: Portland, OR – Remote Work Hours: 8-5 PST

Key Responsibilities:

• Conduct comprehensive risk assessments of generative AI systems, identifying potential vulnerabilities and threats.
• Collaborate with cross-functional teams to design and implement robust AI security measures.
• Ensure compliance with relevant legal, regulatory, and industry standards related to AI and data privacy.
• Develop and maintain risk management frameworks and policies specific to AI applications.
• Perform regular audits and assessments to monitor the effectiveness of risk mitigation strategies.
• Provide expert guidance on AI ethics and responsible AI practices.
• Prepare detailed reports and presentations on risk assessment findings and recommendations for senior management.
• Stay updated with the latest advancements in AI, cybersecurity, and risk management practices.

Requirements:

Education Requirements (Experience in Lieu of Degree): Any AI certifications Certification Requirements (Any Preferences): CIAP (nice to have) How many years of experience are you looking for? 5-10 of risk experience, 2 years AI

Top 3 Must-Haves (Hard and/or Soft Skills): Understanding of AI/ML concepts, algorithms, and models. In-depth familiarity with cybersecurity principles and practices. Understanding of IT infrastructure, cloud platforms (AWS, Azure, Google Cloud), and their security protocols.

Top 3 Nice-To-Haves (Hard and/or Soft Skills): Ability to think analytically and critically about potential risks. Ability to work effectively with cross-functional teams, including data scientists, IT professionals, legal advisors, and business leaders. Strong sense of ethics and responsibility regarding AI deployment and its societal impacts.