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 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.
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.
Basic Qualifications
- 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
Preferred Qualifications
- 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 guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We strive to be Earth's most customer-centric company, Earth's best employer, and Earth's safest place to work.
We invest in the success of our employees with free skills training programs, helping them further their careers in tech and in-demand roles. Amazon works in a fast-paced environment across multiple industries, never losing our passion for customers. Our workplace is made up of a talented, global team of individuals who work hard every day to create a great experience for customers, employees, partners, and the communities where we serve.
April 9, 2026
5-7 business days
After submission
- •Role explicitly focuses on privacy for AI-enabled tools and model-specific risks (model bias testing, feature attribution), showing domain-specific AI fluency.
- •Strong workflow integration: responsibilities include reviewing systems, tracking remediation, and inventorying obligations in a GRC framework—applied process/automation signals.
- •Strategic application is clear: consulting with senior leaders, influencing roadmaps, and operationalizing global privacy requirements for AI.
This role scores well across Maslow tiers: Amazon's stability and the posted salary provide strong physiological and safety signals; the job offers high impact, cross-functional visibility and ownership supporting esteem needs; and there are signals of growth (training programs, challenging AI/privacy work) though explicit career progression and benefit details are not stated. Primary concerns are the broad technical/functional expectations relative to the mid-level designation and missing explicit benefits/amenities and flexibility details — candidates should clarify team structure, expected technical ownership, and development/benefits during interviews.
- •Breadth vs. level mismatch: The posting asks for a wide range of capabilities (privacy, data science, privacy engineering, coding in multiple languages, policy, GRC) while listing a mid-level experience level. This could indicate expectations beyond a typical mid-level hire or unclear seniority.
- •Benefits and non-salary compensation details are not specified in the posting (no explicit mention of healthcare, retirement/401(k) matching, PTO). Candidates should confirm core benefits before proceeding.
- •On-site requirement (Boston) is explicit but the posting also emphasizes 'fast-paced' and ambiguity; for candidates seeking flexibility or hybrid work, the location + pace may be a potential mismatch.
- •Clear salary range provided ($99,900–$164,800) and full-time employment.
- •Employer is Amazon — strong organizational stability and large-scale global operations.
- •Role has high cross-functional visibility and impact (consulting with legal, research science, info security, HR; working with senior leaders).
- •Can you describe the immediate team and reporting structure for this role (team size, functions represented on the team, and who this role reports to)?
- •For typical reviews of AI systems, what level of technical ownership is expected from this role versus advisory—will the Specialist be expected to implement or enforce remediation actions or primarily consult and hand off to engineering owners?
- •What concrete professional development resources are available to privacy/AI team members (budget for conferences/certifications, formal mentorship, rotation opportunities), and how does career progression usually look for someone in this role?
Location
Salary Range
$100k - $165k
Employment Type
Full-time
Experience Level
Mid-level
Posted
January 9, 2026 (2 weeks ago)
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