Senior Privacy Review Specialist (AI/LLM Governance)

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

• From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
• What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

A global technology leader specializing in search technology, digital advertising, cloud computing, and artificial intelligence. Delivering enterprise cloud infrastructure and software solutions, the organization builds scalable consumer and enterprise AI experiences. Today, the company leverages foundational AI models and advanced machine learning to power digital ecosystems for billions of global users.

What You’ll Do

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 AI, machine learning, generative AI, 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 AI systems

Support the responsible development and launch of emerging AI 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 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

What You Bring

Extensive hands-on experience conducting formal written privacy reviews, assessments, or impact analyses

Product-focused privacy experience within 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, Certified Information Privacy Manager

Practical knowledge of AI and machine learning data-processing workflows, generative AI 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 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 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

Nice to have

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

English level

Advanced

Work Type

Remote

Working Hours:

Alignment with west coast US time zone

Legal & Hiring Information

Compensation Transparency: The expected compensation range for this role is $50–100/hr USD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs.

Location Eligibility: This role is open to candidates residing in the United States.

Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required.

Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process.

Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements.

Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws.

Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us.

Data Privacy Notice: For applicants residing