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.
Privacy First Measurement and Attribution
Designing measurement and attribution frameworks for privacy conscious environments where third party identifiers are deprecated. Topics include first party data strategies aggregated and probabilistic measurement approaches server side event collection modeling for conversion and revenue attribution privacy preserving techniques anonymization and differential privacy secure data clean room patterns measurement for connected television and other emerging channels validating models and experiments with limited signals and governance processes for legal and ethical compliance. Interviewers evaluate the candidate s ability to balance measurement accuracy with privacy constraints and to design robust monitoring and validation pipelines.
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.
Data Governance and Compliance
Designing the architecture, controls, and operational processes that ensure marketing data is handled lawfully, securely, and in accordance with policy. Areas include consent capture and consent tracking mechanisms, subject access and deletion workflows, data retention policies and enforcement, anonymization and pseudonymization techniques, encryption and key management, role based access controls and least privilege, audit trails and change logging, data lineage and provenance, data classification and minimization, third party vendor controls and cross border data transfer considerations, tooling such as data catalogs and consent management platforms, monitoring and alerting for data incidents, and incident response and remediation for data breaches and compliance findings.