What People Get Wrong About AI Governance Roles

Hosted by Soribel Feliz

Wed, Apr 1, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

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What you'll learn

How AI governance roles are actually evaluated

Understand what hiring managers look for beyond job descriptions and certifications.

Common positioning mistakes to avoid

Identify the patterns that make strong candidates sound theoretical or unclear.

What “operational” means in AI governance

Learn how to speak about governance in a way that signals real-world credibility.

Why this topic matters

AI governance is growing fast, but roles are hard to interpret and advice often focuses on the wrong signals. This session explains why the field feels confusing and how credibility is actually evaluated in practice. You’ll learn how hiring managers think, what separates theoretical from credible candidates, and how to avoid common positioning mistakes.

You'll learn from

Soribel Feliz

Ex-Meta, ex-Microsoft AI governance advisor and LinkedIn instructor

Soribel Feliz is an AI governance advisor and two-time LinkedIn Learning instructor with experience across government, Meta, and Microsoft. She has spent over a decade working at the intersection of policy, risk, and technology, helping organizations navigate AI governance in practice. Today, she works with professionals to translate privacy and policy expertise into credible, real-world positioning so they can operate and communicate effectively in AI governance roles.

Previously at Meta, Microsoft, US Senate

Meta
Microsoft

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