Privacy Architect for Data & AI Platforms

Yahoo Inc.; United States, Northern America, Americas; Hybrid; USD 129,000 - 281,000; Full time

Job summary

Yahoo is seeking an experienced Privacy Technologist to help teams design, implement, and validate privacy-respectful systems across our advertising and media businesses. You will translate privacy requirements into technical designs, work with engineers, product teams, and privacy counsel, and own testing and validation of controls throughout the product lifecycle.

In this hands-on role, you’ll map data flows, assess consent frameworks, and evaluate AI and ML systems for privacy risks.

Qualifications

• 8+ years in privacy engineering or related technical role.
• Ability to review architectures, trace data flows, and mitigate privacy risks.
• Experience with web/mobile/cloud architectures and data platforms.
• Strong SQL, Python, or JavaScript for data investigation.
• Knowledge of consent, data minimization, retention, and de-identification.
• Ability to communicate complex tech concepts to lawyers and engineers.

Responsibilities

• Lead technical privacy reviews from design to post-launch validation.
• Map data flows and processing dependencies across platforms and APIs.
• Translate legal and product requirements into technical controls.
• Design controls for consent, minimization, retention and deletion.
• Test privacy controls via logs, traces, and configuration reviews.
• Evaluate AI/ML lifecycles for privacy risks and governance.

Skills

Privacy engineering

System architecture review

Data flow tracing

SQL

Python/JavaScript

AI governance

Cross-functional collaboration

Privacy risk assessment

Tools

GitHub Copilot

Gemini

Python

JavaScript

Job description

Yahoo is seeking an experienced Privacy Technologist to help teams design, implement, and validate privacy-respectful systems across our advertising and media businesses. You will translate privacy requirements into technical designs, work with engineers, product teams, and privacy counsel, and own testing and validation of controls throughout the product lifecycle.

In this hands-on role, you’ll map data flows, assess consent frameworks, and evaluate AI and ML systems for privacy risks.