Privacy, Data and AI Analyst - EMEA

TeslaAmsterdam, North HollandOn-siteFull-timeMid level, 2–5 yearsListed 50 minutes ago

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About this role

As part of our Legal group, you will have the opportunity to work with a dynamic and experienced team on a wide variety of data protection and AI issues impacting Tesla's business and products globally. You will be empowered to support the operational success of Tesla's global privacy, data, and AI program ensuring efficient management and delivery of tasks and deadlines as driven by regulatory, statutory or other requirements. The privacy legal team advises the business on data, privacy, and AI matters on a global scale, including but not limited to GDPR, Data Act, and CCPA, by facilitating compliance and doing so in a way that adds value to our mission. We are seeking an analyst who will be an integral part of our global compliance efforts working in a multicultural environment. The role involves advising internal business teams on the various data protection, privacy, and AI related risks, obligations, and other legal matters, as well as interacting with our external customers on all privacy related issues and queries.

As the subject matter expert, you will also have the opportunity to partner with legal engineering and GenAI teams to assist in further enhancement of existing AI tools as well as development of new ones to drive operational efficiency across various workflows (intake, PIAs/DPIAs, DSARs, playbook application).

This is a full-time position, to be based in our Amsterdam office.

- Drive the design, maintenance, and improvement of Tesla's global privacy, data, and AI program.

- Identify strategic priorities by keeping up with emerging legislation, current trends, and best practices related to privacy, cybersecurity, AI, and compliance privacy, cybersecurity, Al, and compliance.

- Establish and manage tools, guidelines and playbooks for documenting and tracking compliance with Tesla's global legal obligations, including privacy impact assessments and intake management, initial privacy reviews, and assistance with resulting privacy and data protection controls.

- Handle data requests, ensuring compliance with the relevant laws and regulations by working with other teams to meet regulatory deadlines.

- Learn about our connected products, working with authorities, technical experts and other business teams.

- Review and mitigate privacy risks in connection with Tesla vehicle and energy products, services and other offerings.

- Support members of the global privacy team Supporting members of the global privacy team with various projects and tasks. In whatever you do, we expect you to look for improvement opportunities. We are not afraid of making radical changes to the way we work if this is needed to enhance efficiency while maintaining compliance. But often smaller changes or fine-tuning of our processes is what we need to achieve a positive impact.

- Research specific areas of law which are critical for our compliance efforts as the privacy legal landscape is rapidly evolving, in order to understand how it impacts us and what actions we may have to take to remain compliant.

- Further enhance existing AI tools as well as assist in the development of new ones that are foundational to the legal department operational success.

- Demonstrated ability to independently manage a diverse and complex workload while maintaining priorities and proactively anticipating issues.

- Detail-oriented but at the same time with the ability to see the big picture and how even a small change can impact many other areas of the business.

- Strong execution and project management skills and ability to corral  stakeholders from across the organization on cross-functional projects.

- Excellent written and verbal skills with the ability to present information/complex matters clearly, and concisely.

- Flexibility when handling directional changes and concurrently managing multiple large-scale programs.

- Comfort in using AI-enabled legal or compliance tools (or a clear appetite to learn) and judgment to verify outputs before they become program or customer-facing work product.

- Ability to turn operational processes into structured playbooks and criteria that others can follow.

- Strong English language both written and spoken is essential, additional languages are desirable.