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Broader Scope for Data Engineering Leaders Using ISO 22301

$199.00
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A tailored course, built for your situation

Broader Scope for Data Engineering Leaders Using ISO 22301

Earn the mandate to lead continuity across data systems and infrastructure

$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.
Teams ship data systems without embedded continuity, creating downstream fire drills when outages hit

The situation this course is for

Data engineering leaders are expected to deliver resilient systems, but most frameworks don’t integrate continuity planning into pipeline design. Without ISO 22301 fluency, teams default to reactive fixes, lose influence during incidents, and miss the chance to define recovery standards.

Who this is for

Senior data engineering managers shaping infrastructure at scale, leading teams that own pipeline reliability and cross-system data flow

Who this is not for

Individual contributors not leading teams, engineers focused only on query optimisation or dashboarding, non-technical compliance staff

What you walk away with

  • Own the data continuity playbook others follow during incidents
  • Define recovery SLAs for pipelines that feed critical business functions
  • Shape ISO 22301 integration points across ingestion, transformation, and storage layers
  • Lead cross-functional drills with infrastructure and security teams using standardised scenarios
  • Document continuity decisions that scale beyond team turnover

The 12 modules (with all 144 chapters)

Module 1. Foundations of Business Continuity in Data Systems
Understand how ISO 22301 applies to data pipelines, not just IT services. Learn the core principles of continuity planning and how they intersect with data availability, integrity, and recovery windows.
12 chapters in this module
  1. What ISO 22301 means for data teams
  2. Continuity vs. disaster recovery differences
  3. Key clauses in ISO 22301 relevant to data
  4. Mapping data systems to business impact
  5. Recovery time objectives for pipelines
  6. Recovery point objectives for streaming data
  7. Role of data engineers in BIA
  8. Incident classification for data outages
  9. Dependency mapping across microservices
  10. Defining critical data flows
  11. SLA tiers for pipeline uptime
  12. Baseline assessment for compliance
Module 2. Integrating ISO 22301 into Data Architecture
Embed continuity requirements into pipeline design patterns. Use ISO 22301 to influence schema decisions, redundancy strategies, and failover logic before systems go live.
12 chapters in this module
  1. Designing for continuity from day one
  2. Schema versioning and backward compatibility
  3. Redundant ingestion pathways
  4. Failover logic in stream processors
  5. Cross-region data replication policies
  6. Automated pipeline restart conditions
  7. Metadata continuity tracking
  8. Data checkpointing for recovery
  9. Storage layer resilience design
  10. Backup strategies for transactional data
  11. Retention policies aligned with RTO
  12. Encryption during data transfer recovery
Module 3. Building the Data Impact Assessment
Conduct a business impact analysis specific to data systems. Identify which pipelines support mission-critical functions and must be prioritized in recovery.
12 chapters in this module
  1. Identifying high-impact data pipelines
  2. Interviewing product teams on uptime needs
  3. Classifying pipelines by business function
  4. Quantifying downtime cost for reporting
  5. Uptime requirements from legal teams
  6. SLA input from customer-facing teams
  7. Mapping dependencies on upstream sources
  8. Downstream consumer impact scoring
  9. Weighting pipelines by revenue impact
  10. Documenting recovery priority tiers
  11. Validating with incident response leads
  12. Updating assessments quarterly
Module 4. Designing Data-Specific Recovery Procedures
Create step-by-step recovery playbooks for data pipelines. Align with ISO 22301 requirements while reflecting real-world data system complexity.
12 chapters in this module
  1. Defining recovery triggers for pipelines
  2. Automated alerting for data gaps
  3. Manual intervention points in recovery
  4. Pipeline state rollback strategies
  5. Data reconciliation after failover
  6. Validating data integrity post-recovery
  7. Reprocessing backlogged events
  8. Handling schema drift during recovery
  9. Recovery runbook ownership model
  10. Testing data recovery scenarios
  11. Documenting known recovery limits
  12. Versioning recovery playbooks
Module 5. Establishing Data Continuity Governance
Set up oversight processes that keep data continuity plans current. Use ISO 22301 to formalize review cycles, update documentation, and assign accountability.
12 chapters in this module
  1. Ownership model for recovery plans
  2. Quarterly review cadence for pipelines
  3. Change control for pipeline modifications
  4. Audit trails for configuration updates
  5. Sign-off process for RTO adjustments
  6. Version control for recovery playbooks
  7. Internal audit coordination
  8. Preparing for ISO 22301 auditor review
  9. Documenting compliance evidence
  10. Handling auditor follow-up questions
  11. Updating controls after incidents
  12. Maintaining continuity policy currency
Module 6. Testing Data System Resilience
Run realistic continuity tests for data pipelines. Move beyond checkbox exercises to uncover real gaps in recovery processes.
12 chapters in this module
  1. Designing test scenarios for data
  2. Simulating partial data loss
  3. Inducing pipeline backpressure
  4. Testing cross-region failover
  5. Recovery time measurement methods
  6. Validating data consistency post-test
  7. Coordinating with security teams
  8. Logging test observations
  9. Identifying hidden dependencies
  10. Improving test fidelity over time
  11. Reporting test results to leadership
  12. Scheduling recurring drills
Module 7. Leading Cross-Functional Continuity Planning
Align data recovery with broader organisational resilience. Influence infrastructure, security, and compliance teams through shared continuity goals.
12 chapters in this module
  1. Engaging with incident response teams
  2. Aligning data RTO with app recovery
  3. Negotiating recovery order with product
  4. Training first responders on data flows
  5. Providing data inputs for crisis comms
  6. Participating in enterprise-wide drills
  7. Translating pipeline status for execs
  8. Escalation paths during incidents
  9. Joint ownership of recovery metrics
  10. Building trust with security leads
  11. Influencing platform-level decisions
  12. Expanding data team’s strategic role
Module 8. Documenting the Continuity Case
Build a compelling, evidence-backed narrative for how your data systems meet ISO 22301 standards. Prepare auditor-ready artefacts that stand up to scrutiny.
12 chapters in this module
  1. Writing the data continuity SoA
  2. Compiling evidence for each control
  3. Linking controls to pipeline design
  4. Creating auditor-friendly summaries
  5. Using diagrams to show recovery flow
  6. Versioning documentation sets
  7. Storing artefacts for audit access
  8. Preparing for sample requests
  9. Anticipating auditor questions
  10. Responding to findings professionally
  11. Updating documents post-audit
  12. Archiving retired versions
Module 9. Scaling Continuity Across Data Teams
Extend continuity practices beyond your own pipeline. Help other data teams adopt ISO 22301 principles through playbooks, templates, and shared standards.
12 chapters in this module
  1. Creating reusable recovery templates
  2. Standardising RTO definitions
  3. Onboarding new teams to continuity
  4. Workshops for data continuity basics
  5. Mentoring junior engineers
  6. Sharing incident learnings
  7. Building internal continuity champions
  8. Curating a knowledge base
  9. Promoting consistency across squads
  10. Reducing variability in recovery
  11. Scaling through automation
  12. Measuring adoption across teams
Module 10. Optimising for Continuous Improvement
Use post-incident reviews and test results to refine continuity plans. Turn every event into a chance to strengthen system resilience.
12 chapters in this module
  1. Conducting effective post-mortems
  2. Capturing recovery time data
  3. Identifying bottlenecks in failover
  4. Updating playbooks after incidents
  5. Prioritising technical debt items
  6. Tracking improvement over time
  7. Benchmarking against peer teams
  8. Investing in automation upgrades
  9. Balancing durability and cost
  10. Revising RTOs with product input
  11. Closing feedback loops
  12. Celebrating resilience wins
Module 11. Communicating Data Continuity Value
Articulate the strategic importance of data resilience to leadership. Position your team as essential to organisational continuity.
12 chapters in this module
  1. Framing continuity as business enabler
  2. Telling stories from incident response
  3. Quantifying risk reduction
  4. Linking pipeline stability to revenue
  5. Presenting to tech leadership
  6. Creating executive dashboards
  7. Highlighting team contributions
  8. Avoiding fear-based messaging
  9. Showing maturity progression
  10. Aligning with company resilience goals
  11. Advocating for investment
  12. Positioning for broader influence
Module 12. Sustaining Mandate Beyond Initial Rollout
Ensure continuity practices endure beyond initial implementation. Build systems that preserve knowledge and adapt as data platforms evolve.
12 chapters in this module
  1. Onboarding new engineers to continuity
  2. Updating plans with system changes
  3. Preserving tribal knowledge
  4. Documenting rationale for decisions
  5. Succession planning for ownership
  6. Maintaining stakeholder engagement
  7. Evolving with new data platforms
  8. Integrating with DevOps pipelines
  9. Adapting to new regulatory needs
  10. Measuring continuity maturity
  11. Sharing best practices externally
  12. Leading the next wave of improvement

How this maps to your situation

  • After a near-miss data outage
  • During platform-level ISO 22301 adoption
  • Before an external audit cycle
  • When expanding team influence

Before vs. after

Before
Reactive involvement in incident response, limited influence on recovery decisions, fragmented documentation across teams
After
Proactive ownership of data continuity roadmap, direct input on recovery sequencing, standardised playbooks adopted across squads

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 3 hours per module, designed to be completed alongside regular work over 6, 8 weeks.

If nothing changes
Without structured continuity planning, data teams remain reactive, lose influence during outages, and miss opportunities to shape resilience strategy , risking erosion of scope and impact.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses specifically on data engineering systems and ISO 22301 integration , giving you role-specific capabilities that translate directly to expanded mandate.

Frequently asked

Is this course relevant if my team doesn’t own critical infrastructure?
Yes , the principles apply to any data pipeline that supports business functions. You’ll learn how to assess impact and grow influence accordingly.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use immediately?
Yes , every module includes downloadable templates and worked examples tailored to data engineering contexts.
$199 one-time. Approximately 3 hours per module, designed to be completed alongside regular work 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
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