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 in Emerging Technologies and Business Models
Privacy implications of AI/Machine Learning (training data, bias, automated decision-making). Privacy in cloud computing and SaaS models. Privacy in IoT and smart devices. Privacy in big data and analytics. Privacy in blockchain and decentralized systems. Privacy-preserving techniques (differential privacy, federated learning). How privacy requirements evolve with new technologies. Privacy in emerging business models (subscription, data-driven, platform economies).
HIPAA and Healthcare Data Protection
Comprehensive knowledge of the Health Insurance Portability and Accountability Act and the associated healthcare privacy and data protection obligations. Candidates should understand scope and applicability including covered entities and business associates; the definition and identification of Protected Health Information; the minimum necessary principle; the Privacy Rule requirements governing permitted uses and disclosures and patient rights such as access, amendment, and accounting of disclosures; and authorization requirements for uses outside permitted disclosures. Candidates should also understand the Security Rule requiring administrative, physical, and technical safeguards including risk analysis and risk management, access controls and identity management, encryption of data at rest and in transit, audit logging and monitoring, secure configuration and patch management, workforce training, and incident response and recovery planning. Be familiar with the Breach Notification Rule including how to evaluate incidents, thresholds for notification, content and documentation requirements, mitigation steps, and statutory timelines such as the sixty calendar day timeline for notifications to affected individuals and to the Department of Health and Human Services. Know Business Associate Agreements and required contractual provisions and vendor oversight, deidentification approaches such as the safe harbor and expert determination methods, compliance monitoring and recordkeeping, enforcement and penalties including the role of the Department of Health and Human Services Office for Civil Rights, and how the statute interacts with other regulatory regimes such as the General Data Protection Regulation and state privacy laws. In interviews candidates may be asked to map data flows and inventories, design technical and administrative safeguards for systems that process health data, perform or interpret risk assessments, triage security incidents and decide whether they meet the threshold for notification, draft or evaluate business associate checklists and contractual controls, and describe monitoring, audit and compliance strategies.
Security and Privacy in Product and Program Design
How to integrate security and privacy into product and program planning. Includes mapping data flows through systems, identifying where personally identifiable information is created and stored, applying privacy by design principles such as data minimization and lifecycle management, specifying compliance requirements like GDPR or industry specific regulations, and planning access controls and auditability. Also covers how security and privacy requirements constrain scope, timelines, resourcing, and cross functional collaboration and when to escalate to specialist teams.
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.
Privacy Monitoring & Production Considerations
Privacy governance, data protection practices, and regulatory compliance considerations as applied to production environments, including privacy risk assessment, data classification, incident handling for privacy events, and privacy-first monitoring and operational controls in live systems.
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 Minimization and Retention
Tests understanding of the principles and operational practices for limiting collection, use, and storage of personal data. Candidates should be able to describe data inventory processes, how to define retention schedules, justifying retention against legal and business needs, implementing deletion and archival processes, exceptions management, documentation of retention policies, and trade offs between analytics or product requirements and privacy risk. Expect discussion of implementation patterns, monitoring retention policy adherence, and coordination with legal and records teams.
Privacy Risk Assessment and Mitigation
Covers the end to end process of identifying, evaluating, prioritizing, and reducing privacy related risks to individuals and organizations. Candidates should demonstrate how to identify privacy harms such as unauthorized access, data breaches, profiling, processing of sensitive data, large scale or sensitive population processing, cross border data transfers, third party access, and inappropriate retention. They should explain methods for risk identification including data inventories, mapping data flows, threat modeling, and conducting privacy impact assessments, and for assessing risk by evaluating likelihood and severity of harms and prioritizing risks by business and individual impact. Mitigation and governance approaches should span technical controls such as encryption, pseudonymization and anonymization, access controls, secure key management, logging and monitoring, and privacy enhancing techniques including differential privacy; organizational controls such as policies, consent management, approval workflows, vendor due diligence, training, and clear role based responsibilities; and operational practices such as data minimization, purpose limitation, retention limits, incident response, breach notification, and continuous monitoring. Candidates should also discuss translating assessments into actionable controls and metrics, balancing privacy protections with product and legal requirements, and embedding privacy by design and privacy by default into development lifecycles.
Ethical Judgment and Confidentiality
Assesses ethical decision making and stewardship of sensitive or confidential information encountered on the job. Topics include identifying what information is private or sensitive (e.g. personnel records, customer data, financial or proprietary business information), applying confidentiality safeguards, balancing transparency with privacy and fairness, documenting decisions while protecting sensitive data, escalating to legal or senior leadership when appropriate, avoiding conflicts of interest, and recognizing and mitigating bias in judgment calls. Candidates should be able to describe concrete examples where they applied ethical judgment in ambiguous situations and explain their reasoning and the outcome.