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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in conducting formal privacy reviews and assessments, with a strong focus on AI and machine learning data-processing workflows. Proficient in translating legal and compliance requirements into actionable guidance while managing multiple priorities in complex environments.
Highest-signal resume keywords
Formal Privacy ReviewsAI And Machine Learning WorkflowsIAPP CertificationPrivacy Risk AssessmentStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Privacy AssessmentsData Processing WorkflowsPrivacy PrinciplesGDPR KnowledgeCCPA KnowledgeModel Training Data AnalysisTechnical Document InterpretationPrivacy Framework DevelopmentOperational ReportingRisk Identification
Soft Skills
Strong JudgmentWritten CommunicationVerbal CommunicationInfluencing SkillsStakeholder Engagement
Tools & Technologies
Custom ToolsAI TechnologiesGovernance Operations Tools
Certifications & Qualifications
Artificial Intelligence Governance ProfessionalCIPP/USCIPP/ECIPM
Industry Keywords
Digital PlatformsCloud ServicesPrivacy ComplianceData MinimizationUser ConsentData PortabilityTransparencyRetention PoliciesPrivacy FrameworksEmerging AI Capabilities
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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