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Exadel

Agile development and digital services provider

Senior Privacy Review Specialist - AI/LLM Governance

Privacy & Data ProtectionConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Extensive hands-on experience conducting formal written privacy reviews, assessments, or impact analyses.
  • Product-focused privacy experience within technology, digital platforms, cloud services, artificial intelligence, 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 artificial intelligence and machine learning data-processing workflows, generative artificial intelligence applications, and Large Language Models.
  • 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 artificial intelligence 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 the ability to make well-supported recommendations in ambiguous or rapidly evolving environments.
  • Exceptional written and verbal English communication skills.
  • 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.

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 the escalation of complex or high-risk privacy matters.
  • Maintain accurate, detailed, and audit-ready assessment documentation.
  • Assess the privacy implications of artificial intelligence, machine learning, generative artificial intelligence, and Large Language Model systems.
  • Evaluate data ingestion, prompt inputs, context windows, model outputs, training workflows, inference processes, and human-in-the-loop oversight.
  • Identify potential risks involving personal data, data leakage, memorization, secondary use, data retention, and inappropriate model outputs.
  • Recommend appropriate privacy controls for experimental and production artificial intelligence systems.
  • Support the responsible development and launch of emerging artificial intelligence capabilities.
  • Review technical design documents, Product Requirements Documents, Business Requirements Documents, 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 and actionable guidance for product and engineering teams.
  • Evaluate complex product scenarios in which requirements, risks, or ownership may not yet be clearly defined.
  • Partner with product managers, software engineers, data scientists, legal teams, and privacy stakeholders to incorporate privacy controls throughout the product lifecycle.
  • Evaluate controls relating to 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 informed product decisions that balance innovation, regulatory obligations, and user trust.
  • Identify gaps in existing 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 artificial intelligence technologies to automate workflows, improve review efficiency, and optimize governance operations.
  • Help establish consistent and scalable privacy-review practices across research and innovation teams.

Desired Qualifications

  • 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 artificial intelligence or custom tooling.
  • A degree in Law, Computer Science, Data Governance, Information Security, or a related discipline.
  • Additional privacy, security, risk, or artificial intelligence-governance certifications.

About the Company

Exadel

Agile development and digital services provider

Exadel provides end-to-end digital transformation services across five core areas: strategy and technology consulting, AI and data management, digital experience, digital products and platforms, and managed services. It helps clients achieve business outcomes by combining agile development with deep industry and technology expertise and collaborative partnership. The company delivers solutions through globally distributed delivery centers and emphasizes continuous innovation and accelerated change. Compared with competitors, Exadel is Forrester-recognized as a leader in Agile Development and differentiates itself with its global footprint, multi-area expertise, and collaborative approach to delivering technology-driven outcomes. Its goal is to help organizations navigate digital transformation and improve performance by delivering practical, scalable technology solutions and services.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Walnut Creek, CA
Founded
1998

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