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.
Data Protection and Governance Strategies
Covers practices to protect and govern data throughout its lifecycle. Topics include protecting data at rest and in transit through encryption and key management; data classification and access control models; backup, recovery, and disaster recovery strategies; retention and secure disposal policies; auditing and logging for compliance; masking and anonymization techniques for privacy; and regulatory considerations when designing data protection measures.
Data Governance and Privacy Programs
Design and operate data governance and privacy programs that ensure data quality, lawful processing, and sustained compliance. Cover data inventory and mapping, data classification schemes, data quality rules and remediation processes, ownership and stewardship models, data lifecycle management, privacy by design principles, data protection controls, vendor and processor management, individual rights handling, incident response for privacy events, monitoring and audit mechanisms, and reporting to regulators. Explain how data governance, data quality, and privacy program components interconnect to enable trustworthy and auditable data usage while supporting business analytics and product needs.
Data Security Privacy and Governance
Data centric considerations covering classification, governance, protection, and quality. Topics include data classification and labeling, encryption strategies and key management for stored and in transit data, data residency and sovereignty requirements, privacy regulations and compliance, data lifecycle and retention policies, access controls and delegation, data governance frameworks, addressing shadow information technology and data mobility, and practical data quality concerns and how they interact with privacy and access controls.
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.