Senior Manager of AI Governance (Sample Role)

Gemini said

The job posting currently on your screen is actually a sample/template role created by ExecSearches to attract candidates in the emerging field of AI Governance to join their registry, rather than a specific open position for a particular company. Because of this, the description provided on the page is just a brief placeholder.

However, if you are looking for a comprehensive idea of what a Senior Manager of AI Governance actually does in the industry, here is a detailed, realistic job description for this type of role based on current market trends:

Role Overview

The Senior Manager of AI Governance is responsible for developing, implementing, and overseeing the organization's enterprise-wide Artificial Intelligence governance strategy. This role ensures that all AI and machine learning initiatives align with ethical guidelines, internal policies, and emerging global regulations (such as the NIST AI RMF and the EU AI Act) while fostering innovation.

Key Responsibilities

• Framework Development: Design, implement, and maintain a robust AI governance framework and lifecycle management process.

• Risk & Compliance: Ensure all AI models and tools comply with the NIST AI Risk Management Framework (RMF), data privacy laws (GDPR, CCPA), and industry-specific regulations. Conduct algorithmic impact assessments to identify risks related to bias, fairness, transparency, and security.

• Cross-Functional Leadership: Partner closely with Data Science, Engineering, Legal, Privacy, and Information Security teams to embed governance checkpoints throughout the AI development lifecycle (MLOps).

• Policy & Ethics: Draft and update corporate policies, standards, and guidelines for responsible AI use. Serve as the primary subject matter expert on AI ethics and responsible tech.

• Monitoring & Reporting: Utilize Governance, Risk, and Compliance (GRC) software to track AI model inventories, monitor drift, and report compliance metrics to executive leadership and the Board of Directors.

• Training & Awareness: Develop educational programs to promote a culture of responsible AI usage and risk awareness across the organization.

Typical Qualifications

• Education: Advanced degree (Master’s or J.D.) in Law, Business, Technology Policy, Data Science, or a related field.

• Experience: 5+ years of experience in tech policy, data governance, risk management, or compliance, with at least 2 years specifically focused on AI/ML or data ethics.

• Technical Acumen: Strong understanding of machine learning concepts, generative AI technologies, and the data lifecycle. You don't need to be a programmer, but you must be able to "speak the language" of data scientists.

• Tools: Proficiency with GRC platforms (e.g., OneTrust, ServiceNow) and familiarity with AI model documentation practices (like Model Cards).

• Certifications: Certifications such as CIPP/E, CIPM, or specific AI governance credentials (e.g., IAPP AIGP) are highly preferred.

If you possess these skills, the page suggests joining their job-seeker registry so they can match you with real employers hiring for these rapidly growing roles!