Senior Privacy Review Specialist – AI/LLM Governance

This is a fully remote position, open to applicants in United States.

📋 Description

• Perform comprehensive, formal written privacy assessments for products, features, research publications, data pipelines, and experimental prototypes.

• Analyze privacy risks and propose safeguards in line with internal policies and international regulations.

• Oversee the review process from initial discovery and risk assessment to remediation and final endorsement.

• Offer strategic direction and facilitate the escalation of intricate or high-risk privacy issues.

• Keep precise, detailed, and audit-ready documentation of assessments.

• Examine the privacy implications associated with AI, machine learning, generative AI, and Large Language Model systems.

• Assess data ingestion, prompt inputs, context windows, model outputs, training workflows, inference processes, and the role of human oversight.

• Identify risks related to personal data, data leakage, memorization, secondary use, retention, and inappropriate model outputs.

• Suggest privacy controls for both experimental and production AI systems.

• Facilitate the responsible development and rollout of new AI capabilities.

• Review technical design documents, requirements specifications, architecture diagrams, data lineage details, and academic publications.

• Pinpoint privacy touchpoints, data dependencies, and gaps across the product and data-processing lifecycles.

• Convert privacy, legal, and compliance requirements into actionable guidance for product and engineering teams.

• Collaborate with product managers, software engineers, data scientists, legal teams, and privacy stakeholders.

• Evaluate controls related to notice and consent, transparency, user choice, data portability, minimization, access, and retention.

• Review data collection processes, consent flows, access controls, privacy policies, and user-facing privacy notices.

• Detect gaps in privacy-review processes and recommend operational enhancements.

• Develop and improve privacy frameworks, SOPs, guidelines, templates, and review standards.

• Assist with operational reporting and program management activities.

• Utilize custom tools and AI technologies to streamline workflows and enhance governance operations.

• Establish uniform, scalable privacy-review practices across research and innovation teams.

⛳️ Requirements

• Significant hands-on experience in conducting formal written privacy reviews, assessments, or impact analyses.

• Product-centered privacy experience in technology, digital platforms, cloud services, AI, or similarly intricate environments.

• Active IAPP certification in at least one of the following: Artificial Intelligence Governance Professional, CIPP/US, CIPP/E, or CIPM.

• Practical understanding of AI and machine learning data-processing workflows, generative AI applications, and Large Language Models.

• Knowledge of privacy risks linked to model-training data, user inputs, inference processes, and model outputs.

• Profound understanding of privacy principles, including notice and consent, transparency, user choice, data portability, data minimization, and retention.

• Familiarity with GDPR, CCPA, and the EU AI Act.

• Ability to interpret complex software design documents, system architectures, data flows, and product specifications.

• Experience in managing numerous reviews and competing priorities under tight deadlines.

• Strong judgment and capability to make well-supported recommendations in uncertain or swiftly changing environments.

• Exceptional written and verbal communication skills in English.

• Ability to convert legal and compliance requirements into clear, actionable technical guidance.

• Strong skills in stakeholder management and influence across product, engineering, legal, and governance teams.

• Must align with the west coast US time zone.

• Residency in the United States is required.

🏝️ Benefits

• Eligibility for commission, bonus, or other incentive compensation where applicable.

• Comprehensive health, dental, and vision coverage.

• Life and disability insurance.

• Retirement savings programs.

• Paid time off.

• Paid holidays.

• Wellness or voluntary benefit programs.

• Opportunities for mentorship and professional growth.

• Remote work arrangement.