The AI Governance Specialist applies technical expertise to data governance, AI compliance, and risk management projects. He/she conducts risk assessments, analyzes data flows, ensure regulatory compliance, and aligns governance practices with organizational goals.
The role requires strong cybersecurity, data mapping, and risk analysis skills, along with expertise in AI governance and compliance frameworks, ensuring proactive risk management and high-quality deliverables.
Requirements
- 5+ years of experience in data governance, compliance, cybersecurity, or a related technical field.
- Proven experience performing red team testing, vulnerability assessments, or penetration testing.
- Hands-on experience with risk assessment methodologies and tools.
- Familiarity with data-related regulations (e.g., GDPR, CCPA) and their practical implementation a plus.
- Expertise in cybersecurity tools and methodologies for red team operations and risk analysis.
- Proficiency in data engineering, system architecture, and data flow mapping.
- Analytical skills to assess vulnerabilities, synthesize insights, and propose actionable solutions.
- Technical writing skills for creating comprehensive documentation and reports.
- Understanding of AI governance and its compliance frameworks.
- Advanced degree or certifications such as CISSP, CIPP, or CISA are nice-to-have.
Job responsibilities
- Perform red team testing to simulate real-world attack scenarios, identify vulnerabilities, and propose mitigation strategies.
- Conduct comprehensive risk assessments related to data protection, AI governance, and compliance requirements.
- Map and analyze data flows across systems and platforms to ensure compliance with regulations and best practices.
- Design and execute audits to evaluate system security, data protection practices, and regulatory compliance.
- Develop and maintain technical documentation, including reports, workflows, and risk assessments.
- Understand global data-related regulations (e.g., GDPR, CCPA) and ensure their implementation in system designs.
- Collaborate with cross-functional teams to align data governance practices with organizational goals and compliance standards.
- Stay updated on emerging threats, regulations, and technologies to ensure proactive risk management and continuous improvement.
