Privacy Engineer III, Global Business Strategy and Operations

The Global Business Strategy and Operations (GBS&O) team is responsible for providing insightful review, perspective and direction on the strategy and operating performance of Google’s Global Business Organization (GBO). GBO comprises all the sales, services, product commercialization and business development/partnerships teams that power Google’s multi-billion dollar ads business.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Conduct privacy reviews and provide consultation requests from GBO teams seeking privacy guidance related to their launches. Design and implement privacy-protective solutions.
• Guide engineering and product teams during product development to ensure their data collection and usage practices are transparent and protect user privacy.
• Conduct technical and policy reviews to identify and escalate potential privacy concerns.
• Respond to Privacy incidents, including root cause analysis and managing remediation.
• Partner with cross-functional teams on topics related to privacy, security, data protection and data storage.

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, and privacy design documents.
• Experience with risk analysis, risk assessments, risk management and data analytics.

Preferred qualifications:

• Experience balancing risks in ambiguous and complex situations with multiple stakeholders.
• Experience managing multiple high priority requests, while determining resource allocation (e.g., time, prioritization) to solve the problems in a fast-paced, changing organization.
• Experience with privacy-enhancing technologies (e.g., differential privacy, federated learning, and secure multi-party computation).
• Experience with AI/ML privacy, including model privacy, data minimization in training sets, or synthetic data generation.
• Knowledge of common regulatory frameworks (e.g., General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA)).
• Ability to resolve high-stakes policy/product conflicts by communicating technical risks to both technical and non-technical executive stakeholders.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Boulder, CO, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

In most instances, this position requires in-person interviews as part of the hiring process