Information privacy management represents a critical pillar of corporate governance and compliance within data-driven organizations. This program introduces the frameworks and structures that regulate privacy governance, data-processing lifecycles, and risk management in line with international standards. It emphasizes the creation of integrated internal systems covering policies, procedures, awareness, documentation, and monitoring. Participants will gain structured methodologies to align organizational operations with privacy legislation and professional certification requirements.
By the end of this program, participants will be able to:
Analyze the structure of privacy governance and define institutional roles and responsibilities.
Evaluate the data-processing lifecycle and classify records, controls, and processing activities.
Develop unified frameworks for privacy risk management, including DPIA, LIA, and risk acceptance models.
Design organizational policies, procedures, and training systems to ensure compliance and risk reduction.
Establish monitoring dashboards, performance indicators, and internal audit mechanisms for continuous improvement.
Privacy, compliance, and data-governance managers.
Data Protection Officers (DPOs) and quality/governance coordinators.
Risk management, cybersecurity, and internal audit professionals.
Legal and compliance consultants in data protection and contracting.
Business unit managers handling customer, employee, or vendor data systems.
Privacy governance models: roles, committees, reporting lines, and approvals.
Stakeholder mapping and functional accountability.
Privacy policy framework: terminology, scope, controlled documentation, and version control.
Record of Processing Activities (RoPA): design, data fields, and control linkages.
Integration of privacy with management systems (Quality, ISMS, BCM).
Classification of personal and sensitive data with associated protection levels.
Principles of data minimization, retention, deletion, and archival documentation.
Data-subject rights: access, correction, deletion, timelines, and evidence logs.
Privacy by Design & Default: embedding controls across collection, use, and sharing stages.
Technical and organizational safeguards: access control, logging, encryption, and incident prevention.
Frameworks for risk identification, qualitative/quantitative assessment, and mitigation options.
Data Protection Impact Assessment (DPIA): inputs, methodology, and outputs.
Legitimate Interest Assessment (LIA): criteria, templates, and justification process.
Breach and incident management: detection, containment, notification, and lessons learned.
Risk-acceptance matrices and alignment with enterprise risk appetite.
Core policy and procedure package: templates, annexes, and control registers.
Awareness and training programs: content design, frequency, impact measurement, improvement cycles.
Third-party management: due diligence, processing agreements, and accountability clauses.
Joint-controller and independent-controller arrangements: documentation and responsibility mapping.
Cross-border data transfers: legal bases, contractual safeguards, and supplementary measures.
Privacy KPIs/KRIs: definitions, data sources, and monitoring dashboards.
Internal privacy audit plans: scope, standards, sampling, and reporting.
Audit-finding management: classification, corrective-action plans, and follow-up tracking.
Executive and board-level reporting: structure, narrative, and metrics.
Continuous-improvement roadmap aligned with business and governance objectives.