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Executive Visibility on Data Resilience Workflows Using ISO 22301

$199.00
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A tailored course, built for your situation

Executive Visibility on Data Resilience Workflows Using ISO 22301

Document and elevate your data engineering impact with board-recognized continuity frameworks

$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.

Who this is for

Senior Data Engineer operating below executive line of sight despite high-impact work on system continuity and data availability

Who this is not for

Entry-level engineers, consultants selling ISO services, auditors focused on compliance checkboxes

What you walk away with

  • Structured documentation of data continuity work mapped to ISO 22301 clauses
  • Repeatable methods to position engineering outcomes as organizational resilience
  • Internal credibility to lead BC planning for data-dependent initiatives
  • Visibility in cross-functional resilience reviews typically reserved for risk and ops leads
  • Authority to define scope of data system continuity without escalation

The 12 modules (with all 144 chapters)

Module 1. Mapping Data Pipelines to Business Impact Scenarios
Identify which data workflows are mission-critical by aligning with business continuity priorities. Translate uptime into operational consequence metrics used by leadership.
12 chapters in this module
  1. Defining maximum tolerable downtime for data layers
  2. Linking ETL jobs to business service dependencies
  3. Classifying data by continuity criticality tier
  4. Using RTO RPO thresholds as design inputs
  5. Documenting cascading failure assumptions
  6. Mapping live pipeline topology to BIA inputs
  7. Validating assumptions with ops stakeholders
  8. Prioritizing redundancy based on impact score
  9. Building fault tree outlines for reporting
  10. Creating heat maps of pipeline exposure
  11. Integrating incident data into risk posture views
  12. Updating impact profiles quarterly
Module 2. ISO 22301 Clause Interpretation for Data Systems
Translate control language into data engineering terms. Focus on clauses 5.2, 8.2, and 8.4 to position data availability as part of organizational resilience.
12 chapters in this module
  1. Clause 5.2 understanding top management commitment
  2. Translating leadership policy into data SLAs
  3. Clause 5.3 assigning data continuity roles
  4. Defining data owner vs system owner
  5. Clause 6.1 assessing data continuity risks
  6. Threat modeling for data pipeline failure
  7. Clause 6.2 setting data resilience objectives
  8. Writing measurable continuity goals
  9. Clause 7.2 training for data incident response
  10. Developing runbooks for engineers
  11. Clause 7.4 communication protocols during outage
  12. Integrating with enterprise notification trees
Module 3. Documenting Data Continuity Plans
Structure clear, auditable plans that align with ISO 22301 requirements while reflecting real data system behavior.
12 chapters in this module
  1. Writing data-specific recovery strategies
  2. Versioning data recovery documentation
  3. Linking DR plans to live pipeline configs
  4. Embedding runbook links in continuity docs
  5. Updating plan metadata automatically
  6. Maintaining test result logs in context
  7. Using pipeline monitoring as status source
  8. Creating executive summaries from telemetry
  9. Generating compliance views from DAG logs
  10. Aligning documentation with audit cycles
  11. Standardizing incident classification codes
  12. Publishing recovery metrics post-event
Module 4. Testing Data Resilience Without Downtime
Design test protocols that validate continuity plans without disrupting live systems or triggering incidents.
12 chapters in this module
  1. Scheduling tests during low-usage windows
  2. Simulating partial data loss safely
  3. Validating backup restore integrity
  4. Measuring test recovery time accurately
  5. Using shadow pipelines for failover checks
  6. Monitoring data consistency post-recovery
  7. Automating test outcome reporting
  8. Reporting test success to compliance teams
  9. Updating documentation after test results
  10. Logging test activities for auditors
  11. Integrating tests into CI CD pipelines
  12. Reducing test cycle time progressively
Module 5. Reporting Data Resilience to Leadership
Produce concise, evidence-based updates that demonstrate data system robustness and earn executive attention.
12 chapters in this module
  1. Summarizing uptime with business context
  2. Highlighting near-misses and mitigations
  3. Showing test results as confidence metrics
  4. Linking data recovery to business impact
  5. Creating dashboards for regular review
  6. Using RTO compliance as KPI
  7. Presenting data incident trends annually
  8. Benchmarking against internal targets
  9. Aligning reports with ISO 22301 requirements
  10. Including third-party data dependencies
  11. Showing improvement over previous cycles
  12. Positioning engineering work as proactive
Module 6. Integrating Data Resilience into Incident Response
Embed data continuity actions into broader incident workflows.
12 chapters in this module
  1. Triggering data recovery checklists
  2. Activating secondary data sources
  3. Validating data consistency during failover
  4. Notifying dependent teams automatically
  5. Escalating data pipeline incidents
  6. Logging data recovery steps systematically
  7. Integrating with war room procedures
  8. Updating runbooks after live incidents
  9. Measuring data recovery effectiveness
  10. Conducting post-mortems with ops
  11. Documenting root cause in continuity logs
  12. Updating prevention tactics in plan
Module 7. Building Repeatable Continuity Artifacts
Create documentation and tools that compound value across audits, reviews, and planning cycles.
12 chapters in this module
  1. Templating data pipeline assessments
  2. Standardizing data impact statements
  3. Creating reusable test protocols
  4. Developing recovery playbook snippets
  5. Automating data continuity metrics
  6. Generating compliance evidence on demand
  7. Building checklist libraries
  8. Creating audit-ready document packs
  9. Maintaining versioned control mappings
  10. Linking artifacts to knowledge base
  11. Updating templates after each cycle
  12. Sharing across teams securely
Module 8. Cross-Functional Alignment on Resilience
Establish credibility with risk, security, and operations teams through structured collaboration.
12 chapters in this module
  1. Engaging with enterprise resilience leads
  2. Contributing to business impact analyses
  3. Aligning data priorities with ops
  4. Participating in continuity drills
  5. Sharing data recovery test results
  6. Negotiating RTO RPO with business units
  7. Incorporating feedback from peers
  8. Co-authoring continuity documentation
  9. Joining resilience governance forums
  10. Mentoring junior engineers on standards
  11. Representing data in audit prep
  12. Tracking cross-team action items
Module 9. Leading Data Resilience Without Formal Authority
Exert influence through expertise, documentation, and consistent follow-through.
12 chapters in this module
  1. Positioning improvements as low-risk
  2. Using ISO 22301 as neutral reference
  3. Demonstrating value before asking
  4. Building coalitions around shared goals
  5. Documenting decisions transparently
  6. Creating space for feedback
  7. Measuring impact objectively
  8. Highlighting team wins publicly
  9. Suggesting small process tweaks
  10. Owning follow-up without ownership
  11. Earning trust through reliability
  12. Scaling influence through templates
Module 10. Optimizing Data Resilience Workloads
Reduce effort while increasing effectiveness of continuity activities.
12 chapters in this module
  1. Automating evidence collection
  2. Reducing manual reporting burden
  3. Scheduling recurring checks
  4. Using templates to speed documentation
  5. Parallelizing test activities
  6. Delegating routine tasks safely
  7. Standardizing naming and structure
  8. Integrating with monitoring systems
  9. Reducing revision churn
  10. Leveraging peer reviews efficiently
  11. Centralizing artifact storage
  12. Measuring time savings per cycle
Module 11. Sustaining Data Resilience Over Time
Maintain momentum and relevance of data continuity efforts across team changes and shifting priorities.
12 chapters in this module
  1. Updating plans with system changes
  2. Retiring outdated documentation
  3. Revalidating assumptions quarterly
  4. Keeping skills current
  5. Mentoring new hires intentionally
  6. Preserving institutional knowledge
  7. Adapting to new data platforms
  8. Integrating new pipelines into scope
  9. Reviewing third-party dependencies
  10. Tracking regulatory changes
  11. Updating templates proactively
  12. Archiving superseded versions
Module 12. Owning the Data Continuity Narrative
Position yourself as the definitive source on data resilience within your organization.
12 chapters in this module
  1. Speaking confidently about controls
  2. Anticipating leadership questions
  3. Providing examples from real events
  4. Using ISO 22301 to align stakeholders
  5. Documenting decisions comprehensively
  6. Building credibility through consistency
  7. Contributing to strategy discussions
  8. Representing engineering in reviews
  9. Earning invitations to planning sessions
  10. Shaping future resilience direction
  11. Being the first call during incidents
  12. Defining what success looks like

How this maps to your situation

  • After a data pipeline incident
  • During annual BC audit prep
  • Before launching a new data product
  • When joining a cross-functional resilience task force

Before vs. after

Before
Data resilience work is effective but invisible to leadership, buried in technical logs and internal docs.
After
Same work is documented and framed using ISO 22301, making it visible, auditable, and recognized in enterprise resilience discussions.

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, self-paced over 12 weeks or accelerated based on need.

How this compares to the alternatives

Unlike generic compliance courses, this focuses on data engineers' real work, mapping pipelines, writing runbooks, testing failover, and shows how to position it within ISO 22301 without reworking systems.

Frequently asked

Is this course technical or policy-focused?
It’s technical-first, showing how to document your existing data engineering work to meet ISO 22301 requirements without changing your stack.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get promoted?
It helps by making your high-impact work visible to leadership, positioning you as a strategic contributor in resilience discussions.
$199 one-time. Approximately 3 hours per module, self-paced over 12 weeks or accelerated based on need..

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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