Privacy Engineer

Why Data Privacy at GM Financial?

Do you enjoy problem solving, data privacy and tackling complex technical challenges?  The GM Financial Privacy team partners with stakeholders across GM Financial to promote to architect and implement privacy protocols, ensuring adherence to applicable laws and regulations.  If you enjoy privacy, love collaborating with others, and thrive in a fast-paced, ever-changing environment, then this is the role for you!

At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Our Purpose: We pioneer the innovations that move and connect people to what matters.

Responsibilities

About the role:

The Privacy Engineer will act as a subject matter expert in support of the GM Financial Privacy Office. The person in this role will support the Privacy Office's function of maintaining and maturing the organization's privacy program by contributing to program framework, and policies and standards, with a focus on ad tech.  Prioritization skills, attention to detail, and the ability to consistently drive assignments to a strong end state are key to success in this role.

In this role you will:

• Collaborate with internal stakeholders across operations, marketing, legal, cybersecurity, data governance, digital, and privacy teams to implement privacy best practices in projects and decisions, and ensure solutions include necessary privacy components.
• Serve as a subject matter expert on privacy engineering and communicate privacy solutions to non-technical stakeholders.
• Develop privacy controls and features, including policies, procedures, and standards, as required by privacy laws and regulations.
• Influence overall strategy related to marketing and ad tech solutions, including use of privacy-enhancing technologies, and cookie management and compliance.
• Manage multiple privacy projects simultaneously with urgency.
• Conduct operational deep dives on privacy-related processes and systems autonomously and engineer scalable solutions.

Qualifications

What makes you an ideal candidate?

• Familiarity with global privacy laws and regulations (e.g., CCPA/CPRA, Law 25, LGPD, app accountability laws) and how technical implementations map to them.
• Familiarity with data governance principles.
• Strong technical background , including the ability to read code and write scripts (Python) to support monitoring the implementation of privacy controls and to automate routine audits. .