A tailored course, built for your situation
Premium engagement picks with ISO 27701 expertise
Position yourself for higher-margin data governance work at Meta and beyond
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Missing out on strategic data governance roles despite deep technical competence
The situation this course is for
Skilled data engineers often stay in implementation lanes because they lack the structured compliance fluency to lead privacy-first initiatives. As a result, they're passed over for premium engagements that go to practitioners who can speak both data and regulation fluently.
Who this is for
Senior Data Engineer in a regulated tech environment who wants to transition from execution to influence, owning compliance-embedded data architecture rather than just building to spec
Who this is not for
This is not for entry-level engineers, compliance generalists without data pipelines experience, or consultants focused solely on audit preparation without technical implementation depth.
What you walk away with
- Claim leadership on data projects requiring ISO 27701 alignment
- Position for higher-margin engagements with privacy-by-design scope
- Lead cross-functional alignment on data handling practices under ISO 27701
- Produce audit-ready documentation directly from pipeline outputs
- Increase decision influence in privacy and data governance councils
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 27701 in data systems
Understand how ISO 27701 extends ISO 27001 to personal data flows, with concrete mappings to data pipeline architecture and storage layers.
12 chapters in this module
- Core principles of privacy information management
- Key clauses in ISO 27701 Section 8
- Mapping PII processing activities
- Data flow boundaries under Article 30
- Role of data processor vs controller in practice
- Binding data governance policies to pipeline jobs
- Documenting processing records automatically
- Privacy notices embedded in metadata
- Cross-border data movement flags
- Anonymization standards in high-risk pipelines
- Consent tracking within ETL layers
- Audit scope definition for data teams
Module 2. Data pipeline privacy tagging
Implement systematic classification and tagging of personal data in streaming and batch pipelines using control frameworks aligned to ISO 27701 Annex A.
12 chapters in this module
- PII detection in unstructured logs
- Schema-level tagging in Parquet layers
- Automated classification with ML models
- Tag propagation across joins
- Masking rules by jurisdiction
- Retention policies per data type
- Pipeline monitoring for tag drift
- Alerting on untagged personal data
- Data lineage with privacy flags
- Schema registry integration
- Role-based access to PII fields
- Encryption key handling in transit
Module 3. Data processor agreements in engineering context
Turn legal commitments into enforceable data handling practices across internal and third-party systems.
12 chapters in this module
- Translating DPAs into SLAs
- Logging DPA clause adherence
- Subprocessor tracking in metadata
- Audit rights for external vendors
- Data deletion timelines by region
- Cross-cloud processing agreements
- Penalty triggers in log events
- Annual compliance attestation patterns
- Security controls mapping to DPA
- Incident notification workflows
- Processor breach escalation paths
- DPA version tracking in code
Module 4. Automated processing records
Generate Article 30-compliant documentation directly from pipeline metadata and orchestration logs.
12 chapters in this module
- Metadata schema for processing records
- Auto-populating activity logs
- Jurisdiction tagging at source
- Data retention schedule enforcement
- Purpose limitation flags
- Processing legal basis coding
- Controller contact propagation
- Automated report generation
- Versioned processing records
- Audit trail integration
- Schema drift impact reporting
- Retention policy exceptions handling
Module 5. Privacy by design in schema evolution
Embed ISO 27701 principles into schema change workflows and data lifecycle management.
12 chapters in this module
- Privacy impact assessments in migrations
- Schema review checklists
- Default anonymization settings
- Field-level access controls
- PII removal in staging layers
- Automated deprecation notices
- Version compatibility checks
- Legacy data handling protocols
- Data minimization in logging
- Consent verification on writes
- Purpose validation at ingestion
- Automated documentation updates
Module 6. Cross-border data flows
Implement technical safeguards for international data transfers in alignment with ISO 27701 and Schrems II.
12 chapters in this module
- Geolocation tagging in pipelines
- Data residency enforcement
- Transfer impact assessment automation
- Standard contractual clauses tracking
- Encryption at rest by region
- Onward transfer controls
- Local law override flags
- Audit logging for cross-border moves
- Data localization in backups
- Egress filtering in real time
- Jurisdiction-specific retention
- Sovereign cloud exceptions
Module 7. Consent and rights management
Operationalize data subject rights fulfillment and consent tracking within data infrastructure.
12 chapters in this module
- Consent schema design
- Right to erasure workflows
- Data portability pipelines
- Consent version tracking
- Automated opt-out enforcement
- DSR fulfillment SLAs
- Consent audit trails
- Cross-system consent sync
- Vendor consent propagation
- Consent expiry handling
- Automated revocation checks
- Subject access request automation
Module 8. Data breach preparedness
Build real-time detection and reporting capabilities for personal data incidents.
12 chapters in this module
- PII exposure detection rules
- Automated breach scoring
- Incident classification tiers
- 72-hour reporting triggers
- Log retention for investigations
- Forensic data isolation
- Breach simulation drills
- Vendor breach escalation
- Regulatory contact automation
- Legal hold workflows
- Public statement templates
- Post-mortem integration
Module 9. Internal audit readiness
Produce continuously audit-compliant data systems with embedded evidence collection.
12 chapters in this module
- Automated control checks
- Audit trail completeness
- Evidence retention policies
- Control exception logging
- Role-based access reviews
- Automated access recertification
- Change approval workflows
- Policy violation alerts
- Control gap reporting
- Audit finding tracking
- Remediation assignment
- Audit communication templates
Module 10. Vendor data governance
Extend ISO 27701 compliance to third-party data processors and SaaS providers.
12 chapters in this module
- Vendor risk scoring
- Data processing inventory
- Security control validation
- Subprocessor transparency
- Audit right fulfillment
- Vendor DPA tracking
- Penetration test reviews
- SOC 2 report integration
- Incident response SLAs
- Data deletion verification
- Vendor offboarding checklist
- Ongoing compliance monitoring
Module 11. Executive communication
Translate technical privacy work into leadership-level narratives.
12 chapters in this module
- Risk heat mapping
- Compliance gap dashboards
- Initiative prioritization
- Budget justification framing
- Stakeholder alignment plans
- Escalation protocols
- Project benefit quantification
- Privacy ROI calculation
- Cross-functional roadmap sync
- Executive summary templates
- Board-level update patterns
- Regulatory change tracking
Module 12. Personal roadmap to premium engagements
Build a tailored plan to transition into high-leverage data governance roles.
12 chapters in this module
- Skills gap analysis
- Engagement target identification
- Stakeholder influence mapping
- Project proposal templates
- Internal advocacy strategies
- Cross-team collaboration models
- Visibility-boosting initiatives
- Mentorship outreach
- Speaking opportunity targeting
- Internal thought leadership
- Portfolio building
- Promotion case development
How this maps to your situation
- When designing a new data pipeline with PII
- Before vendor integration involving personal data
- During internal compliance audits
- While responding to data subject requests
Before vs. after
Before
Reactively handling compliance requests within data projects, often after architecture is set
After
Proactively leading privacy-embedded data initiatives with authority and structured documentation
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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 45-60 hours total, designed to be completed at your pace over 6-8 weeks.
If nothing changes
Continuing to execute on data projects without ISO 27701 fluency means missing first access to strategic work, where influence, budget, and career trajectory are shaped.
How this compares to the alternatives
Unlike generic compliance courses, this program is built for data engineers who need to implement ISO 27701 in real pipeline work, not just pass exams. No other course bridges technical data infrastructure with privacy governance this deeply.
Frequently asked
Do I need prior privacy compliance experience?
No. The course is designed for skilled data engineers ready to expand into privacy-embedded delivery.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant if I'm not in a compliance role?
Yes. Privacy implementation is shifting left, into data engineering. This course prepares you for that evolution.
$199 one-time. Approximately 45-60 hours total, designed to be completed at your pace over 6-8 weeks..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours