Privacy Management & Data Protection Topics
Privacy compliance, data protection frameworks, privacy incident investigation, and regulatory requirements. Covers privacy impact assessments, data classification, regulatory interpretation, and privacy-first operational practices.
Company Privacy Landscape
Demonstrate company specific understanding of privacy and data protection considerations. This covers the organization public privacy commitments, data handling scale and types, major privacy initiatives, known privacy risks or incidents, applicable privacy regulations for their markets and products, data governance practices, and how privacy requirements influence product design, analytics, and third party integrations. Interviewers look for evidence you researched the company privacy context and can discuss implications for compliance, user trust, and practical privacy engineering or policy tradeoffs.
Data Privacy and Compliance
Covers principles, frameworks, and operational practices for managing personal and sensitive data in compliance with law and ethics across contexts such as research and marketing. Topics include regulatory regimes and requirements for data protection, privacy by design, consent management and informed consent procedures, rights subject mechanisms including data access and deletion requests, data retention and deletion policies, deidentification and pseudonymization techniques, Institutional Review Board and research ethics considerations, vendor and third party data processing agreements, auditing and compliance monitoring of systems, privacy impact and risk assessments, secure data storage and access controls, breach response and notification processes, and how platform and marketing technology capabilities affect compliance. Candidates should be able to explain both conceptual requirements and practical implementation tradeoffs when applying privacy and compliance controls in research operations and marketing technology stacks.
Privacy Solution Design
Designing privacy focused technical and operational solutions that protect personal and sensitive data across the system lifecycle. Candidates should be able to specify appropriate technical privacy controls such as encryption at rest and in transit, strong authentication and role based access controls, anonymization and pseudonymization techniques, data minimization strategies, tokenization, and differential privacy approaches. They should also cover operational controls and processes including audit trails and logging, data retention and deletion policies, secure data handling procedures, vendor and third party data management, data subject request handling, and incident response for privacy breaches. Good answers connect privacy controls to system components, explain trade offs between usability and risk, demonstrate threat modeling and risk assessment for different data types and regulatory contexts, and describe how to operationalize privacy by design and privacy engineering practices within delivery teams.