Data Privacy Tech Strategist — AI & Compliance

Keystone; San Francisco (CA); On-site; USD 140,000 - 198,000; Full time

Benefits offered by this job

Annual discretionary bonus

401k contribution

Competitive benefits package

Job summary

Keystone is a premier economics, technology, and strategy consulting firm helping clients navigate transformative AI, data systems, and regulatory challenges. As a Technical Strategist, you will join interdisciplinary teams tackling litigation, regulatory, and strategic matters with a focus on data privacy and privacy-enhancing technologies.

You will design analytical models, assess anonymization techniques, and contribute to internal tooling while communicating complex findings to diverse

Qualifications

• 2+ years of professional experience developing secure software or security and privacy-related product features.
• Fluency in Python and at least one other programming language.
• Ability to define testing, observability, and reliability standards.

Responsibilities

• Work with an interdisciplinary team on litigation cases spanning AI, data analytics, digital risk, emerging technology governance, and regulatory compliance.
• Build analytical models, investigative workflows, and technology assessments.
• Evaluate anonymization and privacy-enhancing technologies in regulatory and litigation contexts.
• Assess privacy controls and anonymization techniques in regulatory scrutiny.
• Contribute to internal tools to enhance analytical consistency and scalability.

Skills

Python

Other languages

Analytical thinking

Security software development

Education

Bachelor’s degree in CS/CE or related

Tools

Security tooling

Job description

Keystone is a premier economics, technology, and strategy consulting firm helping clients navigate transformative AI, data systems, and regulatory challenges. As a Technical Strategist, you will join interdisciplinary teams tackling litigation, regulatory, and strategic matters with a focus on data privacy and privacy-enhancing technologies.

You will design analytical models, assess anonymization techniques, and contribute to internal tooling while communicating complex findings to diverse