
1001 - 5000 employees
Founded 1997
💼 Consulting
📣 Marketing
🏭 Manufacturing
Consulting • Marketing • Manufacturing
Exadel is a technology consulting company that offers services in AI & data management, digital experience, digital products, and serious gaming. It provides end-to-end digital transformation solutions tailored to industries such as telecommunications, financial services, healthcare, and high tech. Exadel works with clients to elevate their business through innovative software solutions, transforming business operations with technology expertise. The company is known for its ability to position businesses for digital leadership by collaborating with domain and technology leaders globally.
🔥 2 minutes ago
🇺🇸 United States – Remote
💵 $50 - $100 / hour
⏰ Full Time
🟠 Senior
🤖 Artificial Intelligence
👻 Ghost score 0%
Where this job comes from
Posted on Exadel's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

1001 - 5000 employees
Founded 1997
💼 Consulting
📣 Marketing
🏭 Manufacturing
Consulting • Marketing • Manufacturing
Exadel is a technology consulting company that offers services in AI & data management, digital experience, digital products, and serious gaming. It provides end-to-end digital transformation solutions tailored to industries such as telecommunications, financial services, healthcare, and high tech. Exadel works with clients to elevate their business through innovative software solutions, transforming business operations with technology expertise. The company is known for its ability to position businesses for digital leadership by collaborating with domain and technology leaders globally.
• Conduct formal, end-to-end written privacy reviews for products, features, research publications, data pipelines, and experimental prototypes • Evaluate privacy risks and recommend safeguards aligned with internal standards and global regulations • Manage reviews from 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 Large Language Model systems • Evaluate 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, retention, and inappropriate model outputs • Recommend privacy controls for experimental and production AI systems • Support responsible development and launch of emerging AI capabilities • Review technical design documents, requirements documents, architecture diagrams, data lineage documentation, and academic publications • Identify privacy touchpoints, data dependencies, and gaps across product and data-processing lifecycles • Translate privacy, legal, and compliance requirements into actionable guidance for product and engineering teams • Partner with product managers, software engineers, data scientists, legal teams, and privacy stakeholders • Evaluate controls relating to notice and consent, transparency, user choice, data portability, minimization, access, and retention • Review data collection, consent flows, access controls, privacy policies, and user-facing privacy notices • Identify gaps in privacy-review processes and recommend operational improvements • Develop and refine privacy frameworks, SOPs, guidelines, templates, and review criteria • Support operational reporting and program-management activities • Use custom tools and AI technologies to automate workflows and improve governance operations • Establish consistent, scalable privacy-review practices across research and innovation teams
• 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 • Active IAPP certification in at least one of: Artificial Intelligence Governance Professional, CIPP/US, CIPP/E, or CIPM • 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 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 • 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 • Alignment with west coast US time zone • Must reside in the United States
• 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 • Mentorship and professional growth opportunities • Remote work arrangement
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