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.
Regulatory and Compliance Technology Strategy
Focuses on designing technology and processes to meet regulatory, legal, and data privacy requirements in a highly regulated mobility business. Topics include mapping the regulatory landscape by geography, implementing privacy by design, data residency and localization strategies, consent and subject rights management, automated compliance controls and audit trails, secure identity verification and background check workflows, and integrating compliance constraints into product road maps. Candidates should discuss tooling and automation for compliance monitoring, policy as code, cross border data flows, interactions with legal and government affairs teams, and how to prioritize business features while avoiding regulatory risk.
Privacy and Personalization Tradeoffs
Balancing personalization and user privacy through engineering and policy. Topics include data minimization and purpose limitation, explicit user consent and preference management, data retention and deletion policies, anonymization and aggregation techniques, privacy preserving machine learning patterns such as on device processing and federated approaches, transparency and explainability for personalized features, measurement of privacy impact and personalization effectiveness, privacy reviews data governance and engineering controls, and compliance with data protection laws such as the General Data Protection Regulation and the California Consumer Privacy Act. Candidates should address ethical considerations and operational controls for safe experimentation and personalization.