Privacy jobs increasingly blend legal tech skills with AI knowledge
Who Governs Data in the AI Era? A Computational Analysis of the U.S. Privacy Workforce in Job Postings
Computers and SocietyComputation and LanguageCryptography and Security
Summary
The authors studied over a thousand US job ads for privacy roles and found these jobs now mix legal, technical, and social skills. Many privacy positions also involve responsibilities related to artificial intelligence, often integrated into existing roles rather than separate ones. This means companies expect privacy professionals to handle both traditional privacy concerns and emerging AI governance. The study sheds light on how privacy and AI expertise are combined in the workforce today.
What this means in practice
- •For privacy teams: Identify necessary hybrid skills and certifications to hire professionals managing AI and data privacy within organizations.
- •For hr recruiters: Use the analysis of job ad language and themes to better structure privacy role descriptions that address AI governance demands.
Authors
Ramazan Yener, Muhammad Hassan, Masooda Bashir
Abstract
Privacy protection now spans legal, technical, and managerial duties, and demand for privacy professionals is growing across sectors. However, little is known about how employers define these roles. We analyze 1,143 U.S. privacy job postings from LinkedIn and Indeed. We examine job titles, salaries, competencies, certifications, education, experience, regulatory references, and AI-related language by using rule-based text mining. We also apply Topic Modeling (BERTopic) to the same postings and identify 18 latent themes which we grouped them into four categories. Our findings show that privacy roles are hybrid and they combine legal knowledge, technical skills, and interpersonal competence. Artificial intelligence appears in more than half of postings, with AI language spread across compliance, legal, governance and security themes. Our research indicates that AI governance responsibilities are often embedded within existing privacy roles, contributing to the rise of hybrid positions alongside dedicated AI governance roles.