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…