Duration 5 days – 35 hrs
Overview
This Certified Data Protection Officer (CDPO) training provides a practical, end-to-end understanding of how to design, implement, and continuously improve an organization’s privacy and data protection program. Participants learn the key principles of data protection, common regulatory requirements and expectations, governance and accountability structures, risk-based controls, incident/breach readiness, vendor and cross-border data management, and how to operate effectively as a Data Protection Officer (or equivalent privacy lead). The course is designed to be applicable across industries and adaptable to local laws and regulators.
Objectives
- Explain core data protection principles (lawfulness, fairness, transparency, purpose limitation, minimization, accuracy, retention, security, accountability).
- Map personal data processing activities and establish Records of Processing/Processing Inventories.
- Build a privacy governance framework (policies, roles, controls, metrics, reporting).
- Conduct privacy risk assessments and implement privacy-by-design and default controls.
- Operationalize key data subject rights processes (intake, validation, timelines, documentation).
- Define and manage lawful bases/grounds for processing and consent lifecycle management.
- Set up breach and incident response readiness, including notification decisioning and documentation.
- Manage third parties (processors/vendors) through due diligence, DPAs, and monitoring.
- Handle cross-border data transfers and data localization considerations (general approach).
- Create a practical compliance roadmap aligned with business priorities and audit expectations.
Audience
- Appointed / aspiring Data Protection Officers (DPOs) or Privacy Officers
- Compliance, Legal, Risk, Audit, Governance professionals
- Information Security, IT Operations, Data Governance, and Data Management leads
- HR, Marketing, Customer Service, Operations managers who handle personal data
- Project Managers / Product Owners implementing data-driven initiatives
- Vendor Management / Procurement professionals involved in outsourcing
Prerequisites
- Basic understanding of organizational processes and information handling
- Familiarity with common IT and security concepts is helpful (but not required)
- Recommended: participants bring a high-level view of their organization’s data flows, systems, and vendors (if available)
Course Content
Day 1 — Foundations, Accountability, and Privacy Governance
Module 1: Data Protection Fundamentals
- Personal data vs sensitive/special categories (general definitions)
- Controllers vs processors (and equivalents)
- Data lifecycle and common processing scenarios
Module 2: Principles and Compliance Obligations
- Core privacy principles and accountability
- Transparency requirements and privacy notices
- Purpose limitation, minimization, retention, and documentation
Module 3: Role of the DPO / Privacy Lead
- Independence, reporting lines, conflicts of interest
- DPO responsibilities, advisory vs ownership boundaries
- Building stakeholder trust and operating model
Module 4: Privacy Governance Program Setup
- Policies and standards: privacy policy, retention, incident response, vendor management
- Governance structures: committees, RACI, escalation paths
- Training and awareness program design
- Metrics/KPIs and management reporting
Workshop 1
- Define your DPO charter + governance map (roles, reporting, and key controls)
Day 2 — Data Mapping, Risk Management, and Privacy by Design
Module 5: Data Mapping and Processing Inventories
- Data mapping techniques and scoping
- Records of Processing / processing inventory structure
- Data classification and ownership
- Identifying high-risk processing and gaps
Module 6: Lawful Grounds and Consent Management
- Lawful basis/grounds (general framework)
- Consent: design, capture, proof, withdrawal, audit trail
- Legitimate interests/balancing (general approach)
- Children’s data and marketing considerations (general)
Module 7: Privacy Risk Assessments and DPIA/PIA
- When to conduct a DPIA/PIA (triggers and thresholds)
- Risk assessment methodology and scoring
- Selecting controls: organizational, technical, contractual
- Documenting decisions and residual risk acceptance
Module 8: Privacy by Design and Default
- Embedding privacy into SDLC / change management
- Common design patterns: minimization, pseudonymization, access controls
- Data sharing design, logging, and monitoring
- Coordination with security and enterprise architecture
Workshop 2
- Run a mini DPIA/PIA on a sample system (or your own use-case)
Day 3 — Operations: Rights, Incidents, Vendors, and Continuous Compliance
Module 9: Data Subject Rights Operations
- Common rights requests (access, correction, deletion, objection, portability—general set)
- Intake channels, identity verification, timelines, exemptions (general)
- Case management workflow and evidence trail
- Handling complex cases (employees, customers, investigations)
Module 10: Security, Breach Readiness, and Incident Response
- Relationship between privacy and security controls
- Breach vs incident: classification and triage
- Notification decisioning (general framework), templates, and comms
- Post-incident reviews and control improvements
Module 11: Vendor / Processor and Third-Party Management
- Due diligence checklist and risk tiering
- Data Processing Agreements (DPAs): key clauses
- Sub-processors, audits, monitoring, and SLA alignment
- Procurement and contract integration
Module 12: Cross-Border Data Transfers and Data Sharing
- Transfer risk approach (general)
- Contractual and organizational safeguards
- Data localization considerations (general)
- Sharing with regulators, law enforcement, and partners
Module 13: Audits, Assessments, and Compliance Roadmap
- Evidence collection and audit readiness
- Continuous monitoring and periodic reviews
- Maturity model for privacy programs
- Roadmap creation: quick wins vs strategic controls
Capstone Workshop
- Build a 90-day and 12-month DPO action plan (program roadmap + deliverables)
