A tailored course, built for your situation
Mastering ISO 27701; A Step-by-Step Guide to Privacy Implementation
A structured path to implement and govern data privacy controls with precision and consistency
The situation this course is for
Sales and technical teams often face delays when customer diligence uncovers gaps between stated privacy capabilities and framework requirements. Without a clear implementation roadmap, responses lack consistency, evidence trails are incomplete, and deals slow down. Practitioners need a repeatable method to translate privacy standards into real-world validation.
Who this is for
Technical sales leaders and customer-facing architects in data platform companies who engage on compliance and governance topics during procurement and technical review cycles.
Who this is not for
This course is not for compliance auditors or DPOs focused solely on passing certification. It's for go-to-market and technical enablement roles that must articulate and validate privacy design.
What you walk away with
- Produce ISO 27701-aligned privacy narratives that stand up to technical scrutiny
- Map product features directly to control objectives with source-backed examples
- Accelerate response time to privacy diligence questionnaires by 50% or more
- Deliver consistent, audit-ready outputs without senior review loops
- Build credibility as a trusted advisor on privacy implementation
The 12 modules (with all 144 chapters)
- Understanding the scope and applicability of ISO 27701
- Mapping GDPR requirements to ISO 27701 control domains
- Privacy by Design as a core implementation principle
- How ISO 27701 complements existing ISO 27001 programs
- Differentiating ISO 27701 from CSA STAR and ISO 42001
- Key terminology: personally identifiable information, processing context, transparency obligations
- The role of data protection officers under the standard
- Integrating privacy risk assessment into product lifecycle
- Evidence requirements for privacy control implementation
- Common misconceptions in vendor marketing claims
- Leveraging ISO 27701 for competitive differentiation
- Use cases in B2B SaaS and cloud data platform environments
- Creating a control mapping matrix for ISO 27701 Annex A
- Identifying evidence types: policy, procedure, logs, screenshots
- Assessing current state against control maturity levels
- Documenting control ownership and accountability
- Using R2 evidence models in platform environments
- Handling shared responsibility in cloud deployments
- Mapping access controls to PII processing roles
- Tracking consent mechanisms and data subject rights
- Documenting data retention and disposal policies
- Auditing data sharing and third-party processing
- Secure handling of breach notifications and logging
- Template: Privacy control assessment workbook
- Core components of an ISO 27701-compliant privacy policy
- Defining scope: what personal data is processed and why
- Describing legal basis for processing under GDPR
- Writing transparency notices for data subjects
- Documenting international data transfers and safeguards
- Integrating data subject rights into policy language
- Version control and approval workflows
- Aligning policy with standard contractual clauses
- Reviewing policy against auditor expectations
- Using plain language for non-technical stakeholders
- Linking policy statements to technical implementation
- Template: Privacy policy drafting guide
- Identifying systems that process personally identifiable information
- Categorizing data by sensitivity and jurisdiction
- Mapping data ingestion, storage, and egress points
- Documenting internal and external data transfers
- Using Databricks or Trino-like tools for data lineage
- Validating flow accuracy with engineering teams
- Scoping data assets for audit readiness
- Documenting data classification schemes
- Maintaining up-to-date inventory records
- Integrating flow maps with risk assessments
- Handling ephemeral and cached PII data
- Template: Data flow mapping worksheet
- When and how to initiate a Privacy Impact Assessment
- Scoping PIAs for new product features or integrations
- Identifying stakeholders: legal, product, engineering
- Assessing data processing risks using ISO 27701 criteria
- Scoring likelihood and impact of privacy harms
- Documenting risk treatment decisions
- Linking PIA findings to control implementation
- Versioning and archiving assessment records
- Demonstrating due diligence to regulators
- Integrating PIAs into sprint planning cycles
- Handling high-risk processing under GDPR
- Template: PIA report structure and examples
- Defining lawful bases for processing personal data
- Designing consent collection interfaces
- Managing consent records and revocation
- Processing access and deletion requests at scale
- Verifying identity for data subject requests
- Logging request handling for audit
- Integrating DSAR workflows with CRM systems
- Handling cross-border data subject requests
- Setting SLA expectations for response times
- Documenting exceptions and legal holds
- Auditing consent withdrawal impact
- Template: Data subject request handling playbook
- Identifying vendors that process personally identifiable information
- Classifying vendor risk levels
- Conducting vendor privacy assessments
- Evaluating subprocessor transparency
- Reviewing data processing agreements
- Assessing international data transfer mechanisms
- Validating vendor certifications and audit reports
- Monitoring ongoing compliance
- Documenting due diligence for regulators
- Managing offboarding and data return
- Handling vendor breach notifications
- Template: Vendor privacy assessment checklist
- Defining roles and responsibilities for privacy
- Creating role-based training content
- Developing onboarding and refresher modules
- Communicating policy updates effectively
- Testing knowledge retention
- Documenting training completion
- Using phishing simulations to reinforce privacy
- Addressing insider threats
- Involving leadership in awareness campaigns
- Measuring program effectiveness
- Aligning with security training cycles
- Template: Privacy training calendar and materials
- Defining privacy incident vs data breach
- Establishing detection and logging practices
- Creating incident triage workflows
- Assessing breach severity and risk
- Notifying supervisory authorities within 72 hours
- Communicating with affected data subjects
- Documenting incident root causes
- Involving legal and PR teams appropriately
- Testing response plans with tabletop exercises
- Maintaining breach register records
- Learning from past incidents
- Template: Breach response decision tree
- Understanding auditor expectations and timelines
- Building the evidence repository structure
- Assigning evidence owners across teams
- Scheduling pre-audit walkthroughs
- Validating control operation over time
- Preparing for remote and on-site audit phases
- Responding to auditor findings
- Tracking remediation actions
- Maintaining artifact version control
- Using DataHub-like tools for metadata governance
- Demonstrating continuous improvement
- Template: Audit readiness tracker
- Defining key privacy metrics and KPIs
- Monitoring consent renewal rates
- Tracking DSAR fulfillment times
- Auditing access to PII systems
- Reviewing logs for anomalous activity
- Updating risk assessments annually
- Incorporating feedback from audits
- Aligning with product roadmap changes
- Using Skipper-like AI agents for anomaly detection
- Integrating with security operations centers
- Reporting to leadership on privacy posture
- Template: Privacy monitoring dashboard spec
- Selecting an accredited certification body
- Initiating the certification audit process
- Preparing for Stage 1 and Stage 2 audits
- Addressing nonconformities
- Obtaining and maintaining certification
- Publishing certification claims appropriately
- Avoiding misleading marketing statements
- Updating controls after certification
- Managing surveillance audits
- Leveraging certification in customer conversations
- Integrating with broader GRC platforms
- Template: Certification roadmap and communication plan
How this maps to your situation
- Privacy diligence in technical sales cycles
- Customer-facing compliance validation
- Audit readiness for cloud data platforms
- Regulatory alignment in global deployments
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 8-10 hours total, designed to be completed in short sessions across two weeks.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to technical sales and pre-sales roles in data platform companies, focusing on practical deliverables rather than theoretical overviews.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.