Senior Privacy Review Specialist (AI/LLM Governance)

Exadel

12d • $50 - $100 • Remote

About The Position

Exadel is seeking a Senior Privacy Review Specialist focused on AI and LLM governance to conduct formal written privacy reviews across products, features, research publications, data pipelines, and experimental prototypes. The specialist will assess privacy risks, recommend safeguards aligned with internal standards and applicable regulations, and manage reviews through discovery, remediation, and approval. The role also provides guidance on complex or high-risk matters and maintains detailed, audit-ready documentation.

The position assesses privacy implications of AI, machine learning, generative AI, and LLM systems, including data ingestion, prompts, context windows, model outputs, training, inference, and human oversight. The specialist identifies risks such as personal-data exposure, leakage, memorization, secondary use, retention, and inappropriate outputs, and recommends controls for experimental and production systems.

The role reviews technical and product documentation, identifies privacy touchpoints and data dependencies, and translates legal and compliance requirements into practical guidance. It partners with product, engineering, data science, legal, and privacy teams to incorporate privacy controls throughout the product lifecycle, evaluate user-facing and data-handling controls, and help teams balance innovation, regulatory obligations, and user trust.

The specialist also improves privacy-review operations by refining frameworks, procedures, guidelines, templates, and criteria; supporting reporting and program management; and using custom tools and AI technologies to automate workflows and scale review practices. The role is remote, open to candidates residing in the United States, and requires alignment with the U.S. West Coast time zone. Compensation is $50–$100 per hour, with possible commission, bonus, or other incentives where applicable.

Requirements

• Extensive hands-on experience conducting formal written privacy reviews, assessments, or impact analyses.
• Product-focused privacy experience in technology, digital platforms, cloud services, AI, or similarly complex environments.
• An active IAPP certification in at least one of the following: Artificial Intelligence Governance Professional; Certified Information Privacy Professional/United States; Certified Information Privacy Professional/Europe; or Certified Information Privacy Manager.
• Practical knowledge of AI and machine-learning data-processing workflows, generative AI applications, and LLMs.
• Understanding of privacy risks associated with model-training data, user inputs, inference processes, and model outputs.
• Deep knowledge of privacy principles, including notice and consent, transparency, user choice, data portability, data minimization, and retention.
• Knowledge of relevant privacy and AI regulatory frameworks, including GDPR, CCPA, and the EU AI Act.
• Ability to interpret complex software-design documents, system architectures, data flows, and product requirements.
• Experience managing multiple reviews and competing priorities under tight deadlines.
• Strong judgment and ability to make well-supported recommendations in ambiguous or rapidly evolving environments.
• Exceptional written and verbal English communication skills; English level is advanced.
• Ability to translate legal and compliance requirements into clear, actionable technical guidance.
• Strong stakeholder-management and influencing skills across product, engineering, legal, and governance teams.

Nice To Haves

• Familiarity with enterprise privacy-review, governance, and product-launch tools.
• Experience supporting privacy governance for research, experimental products, or emerging technologies.
• Experience working with cross-functional legal, ethics, privacy, product, and engineering governance bodies.
• Experience automating privacy-review or governance workflows using AI or custom tooling.
• A degree in Law, Computer Science, Data Governance, Information Security, or a related discipline.
• Additional privacy, security, risk, or AI-governance certifications.

Responsibilities

• Conduct formal, end-to-end written privacy reviews for products, features, research publications, data pipelines, and experimental prototypes.
• Evaluate privacy risks and recommend practical safeguards aligned with internal standards and applicable global regulations.
• Manage reviews from initial discovery and risk identification through remediation and final approval.
• Provide strategic guidance and support escalation of complex or high-risk privacy matters.
• Maintain accurate, detailed, audit-ready assessment documentation.
• Assess privacy implications of AI, machine learning, generative AI, and LLM systems, including data ingestion, prompt inputs, context windows, model outputs, training workflows, inference processes, and human-in-the-loop oversight.
• Identify risks involving personal data, data leakage, memorization, secondary use, data retention, and inappropriate model outputs.
• Recommend privacy controls for experimental and production AI systems and support responsible development and launch of emerging AI capabilities.
• Review technical design documents, product and business requirements, system architecture diagrams, data-lineage documentation, and academic publications.
• Identify privacy touchpoints, data dependencies, and potential gaps across product and data-processing lifecycles.
• Translate privacy, legal, and compliance requirements into practical guidance for product and engineering teams, including in complex or ambiguous product scenarios.
• Partner with product managers, software engineers, data scientists, legal teams, and privacy stakeholders to incorporate privacy controls throughout the product lifecycle.
• Evaluate controls for notice and consent, transparency, user choice, data portability, data minimization, access, and retention.
• Review data-collection practices, consent flows, access controls, privacy policies, and user-facing privacy notices.
• Help teams make product decisions that balance innovation, regulatory obligations, and user trust.
• Identify gaps in privacy-review processes and recommend operational improvements.
• Develop and refine privacy frameworks, standard operating procedures, guidelines, templates, and review criteria.
• Support operational reporting and program-management activities across the privacy lifecycle.
• Use custom tools and AI technologies to automate workflows, improve review efficiency, and optimize governance operations.
• Help establish consistent and scalable privacy-review practices across research and innovation teams.

Benefits

• Comprehensive health, dental, and vision coverage, subject to plan terms and eligibility.
• Life and disability insurance, subject to plan terms and eligibility.
• Retirement savings programs, subject to plan terms and eligibility.
• Paid time off and paid holidays, subject to plan terms and eligibility.
• Other wellness or voluntary benefit programs, subject to plan terms and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed