Come build the future of privacy with us! To get there, we need exceptionally talented, bright, and driven people. We work in a fast-paced environment across multiple industries, never losing our passion for customers. As a member of the Workplace Privacy Artificial Intelligence (AI) Review team, you will play a key role in operationalizing privacy across Amazon’s global employee, candidate, and contingent worker populations. This includes engaging with multiple stakeholders across the enterprise to help ensure compliant outcomes. You will be responsible for consulting with key stakeholders to drive alignment with global privacy and AI regulatory requirements, including GDPR. In the execution of Amazon’s global privacy obligations, you will rely heavily on your subject matter expertise, as well as your case management, analytical, and relationship building skills to develop and deploy innovative strategies for data protection within AI enabled tools. The identified candidate will demonstrate proven experience to: support diverse stakeholders; evaluate control effectiveness within AI; understand levels of potential risk and how to address them; provide in-depth consultation; and have the ability to synthesize diverse data to identify patterns, draw conclusions, and prioritize remediation efforts using risk management concepts. Excellent writing skills are required as the output for this role will be documentation that aligns to privacy regulations worldwide. The ‘day-to-day’ aspect of this role will be to review third party and internal Amazon AI applications for compliance with global privacy obligations and best practices. As part of this you will provide proactive guidance for upcoming tech builds and roadmaps, work with senior leaders on acceptable business risk when applicable, and track remediation actions as needed. You will be responsible for knowing the privacy risks of systems, and ensure the system owners follow the correct paths to full compliance. After reviewing each system, you will be responsible for creating a Data Protection Impact Assessment (DPIA) and Record of Processing (RoP) for regulatory need.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees