Privacy Engineer, AI Privacy Consulting and Governance

Minimum qualifications:

• Bachelor's degree or equivalent practical experience
• 2 years of experience designing solutions that maintain or enhance the privacy posture of the organization by analyzing and assessing proposed engineering designs (e.g., product features, infrastructure systems) and influencing stakeholders
• 2 years of experience applying privacy technologies (e.g., differential privacy, automated access management solutions, etc.), and customizing existing solutions and frameworks to meet organizational needs
• Experience in Privacy, Business Communication, Privacy Data Handling, Information Privacy, Privacy Design Document
  

Preferred qualifications:

• Experience in managing multiple high priority requests, while determining resource allocation (e.g., time, prioritization) to solve the problems in a fast-paced, changing organization
• Knowledge of common regulatory frameworks (e.g., GDPR, CCPA)
• An understanding and experience in end-to-end development of ML models and applications
• Understanding of privacy principles, and a passion for keeping people and their data safe
  

About The Job

Responsibilities

• Escalate critical and novel AI risks to central and product leadership forums, as needed.
• Work with Privacy Engineers to design and develop technical documentation across teams to drive consistent privacy decisions within the AI domain.
• Navigate multiple, interdependent work-streams, functional and technical concepts, and conversations with stakeholders to ensure AI and GenAI privacy requirements are met.
• Connect-the-dots across systems, products and teams in order to duplicate and scale AI privacy governance solutions across Google.
• Conduct privacy impact assessments and drive privacy outcomes for AI datasets, models, products, and features