AI Privacy Specialist, Workplace Trust: Privacy, AI, and Risk, Workplace Trust

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 Amazons 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 Amazons 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.


Key job responsibilities
Key responsibilities include:

* Consult with global legal research science applied science information security and HR policy process vendor and application owners to ensure that sound protocols are in place to mitigate privacy risks unique to AI including model bias testing and feature attribution.
* Monitor known and emerging risks measure internal control effectiveness and develop and own action items to remediate identified risk issues.
* Socialize and secure commitment for remediation and risk management strategies.
* Develop deep knowledge of employee privacy obligations and data privacy processes and solutions utilized by Amazon.
* Assess areas for AI privacy program improvement and implement solutions.
* Consult on the development of business requirements for new system and model implementations and enhancements.
* Draft written narratives to communicate obligations risk analyses and recommendations.
* Inventory risk and compliance obligations in a governance risk and compliance (GRC) system framework.
* Prepare other supporting documentation such as best practice blueprints for teams deploying AI.
* Respond to questions and troubleshoot issues.
* Manage other risk and compliance related projects as needs arise.
* Ability to travel up to 10% including international destinations.

The successful candidate leverages their background in compliance engineering data protection data science human resources data governance and/or data modelling to implement privacy controls across the internal technology ecosystem.

* Experience in a privacy data science or risk management role
* BA/BS degree or equivalent experience
* Experience with GDPR CCPA and familiarity with emerging AI regulation

* Experience in privacy engineering technical privacy review software engineering or data science
* Advanced degree in a related area (CS or MBA)
* Relevant certifications such as CIPT CIPP/E CIPP/US AWS CCP or AWS Certified Machine Learning
* Experience working in a global large-scale complex and fast-paced environment
* Ability to work in an ambiguous environment and drive forward results
* Experience Coding in Python PHP Java C/C (or equivalent language) including code maintenance and review
* Problem solver able to troubleshoot issues independently or escalate when necessary; sense of accountability and sound professional judgment
* Proven analytical capabilities; experience with large amounts of data and in developing audit reports metrics and reporting mechanisms
* Experience defining technical requirements and specifications writing policy and adapting requirements to technical and business needs
* Excellent written and verbal communication skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99900/year in our lowest geographic market up to $164800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.