Privacy Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Serve as a subject matter expert for the GM Financial Privacy Office.

• Contribute to the development of the privacy program framework, policies, and standards, particularly in the area of advertising technology.

• Collaborate with teams across operations, marketing, legal, cybersecurity, data governance, digital, and privacy.

• Apply privacy best practices to projects and decision-making, ensuring that solutions incorporate necessary privacy elements.

• Effectively communicate privacy engineering solutions to stakeholders without technical backgrounds.

• Develop privacy controls and features, which include policies, procedures, and standards mandated by privacy laws and regulations.

• Influence marketing and ad tech strategies, focusing on privacy-enhancing technologies, cookie management, and compliance.

• Oversee multiple privacy projects concurrently.

• Conduct in-depth operational analyses of privacy-related processes and systems.

• Independently engineer scalable privacy solutions.

⛳️ Requirements

• Knowledge of global privacy laws and regulations, such as CCPA/CPRA, Law 25, LGPD, and app accountability laws.

• Understanding of data governance principles.

• Proficiency in reading code and writing Python scripts for monitoring privacy controls and automating routine audits.

• Experience with tools like OneTrust, Syrennis, or Adobe is advantageous.

• Familiarity with data engineering methods for anonymizing and pseudonymizing data, including hashing, tokenization, suppression, and generalization.

• Proven experience with privacy-related technology solutions in security or technically relevant roles, particularly in marketing and ad tech.

• Experience in developing or advising on consent management workflows.

• Strong knowledge of mobile and web tracking technologies.

• Capacity to translate technical, legal, and regulatory privacy requirements into practical technical and operational solutions.

• Excellent collaboration, communication, and relationship-building abilities.

• Skill in managing competing priorities, anticipating challenges, and proactively resolving issues.

• Capability to work effectively within an AI-enabled environment.

• A Bachelor’s Degree in Computer Science, Cybersecurity, Privacy, Information Systems, or a related field, or equivalent work experience is required.

• A minimum of 2 years experience handling a mix of privacy and technology matters is required.

• CIPT privacy certification is preferred.

🏝️ Benefits

• 401K matching.

• Bonding leave for new parents: 12 weeks, 100% paid.

• Tuition assistance.

• Training opportunities.

• GM employee auto discount.

• Paid time for community service.

• Nine company holidays.

• Performance-based incentive plan.

• Health benefits available from the first day of employment.