A tailored course, built for your situation
Mastering ISO 20000 for Senior Data Engineering Managers
Build documented service management authority that shapes vendor selection, incident escalation paths, and technical roadmap input
$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.
Even strong technical leaders get overlooked in vendor reviews and escalation design when their judgment isn't formalized
The situation this course is for
Deep technical expertise often doesn't translate into influence on process design or vendor selection because the frameworks for standardization remain opaque. Practitioners with strong opinions on tooling and incident response lose input when decisions shift to service management teams using ISO 20000 without engineering alignment.
Who this is for
Senior data engineering managers in global systems integrators who lead technical delivery and want formal influence over service design, tooling decisions, and escalation frameworks
Who this is not for
Junior engineers, support staff, or non-technical managers looking for entry-level ITIL training
What you walk away with
- Documented command of ISO 20000 service design clauses applicable to data platforms
- Ability to shape vendor evaluation checklists used in procurement cycles
- Confidence to lead cross-functional discussions on incident classification and escalation paths
- Greater visibility into roadmap planning cycles where service level agreements are defined
- Recognition as the internal reference on service management alignment for data engineering
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 20000 in Data-Centric Environments
Understand how ISO 20000 applies beyond traditional IT operations, focusing on data engineering contexts where service management intersects with cloud infrastructure and platform ownership.
12 chapters in this module
- Overview of ISO 20000-1 and its relevance to cloud data platforms
- Differences between ITIL practices and ISO 20000 compliance requirements
- How service management standards apply to Snowflake and similar platforms
- Key stakeholders in service delivery for data engineering teams
- Mapping data engineering outputs to service catalog items
- Service level agreements in multi-cloud data environments
- Incident vs. problem management in pipeline failures
- Change management for schema and ETL process updates
- Understanding the audit scope for data service management
- Common misconceptions about ISO 20000 and data teams
- How ISO 20000 supports regulatory compliance efforts
- Integration points with enterprise risk and governance teams
Module 2. Service Management Governance and Leadership Roles
Define leadership accountability in service delivery, focusing on how senior engineers influence oversight structures without formal managerial authority over all contributors.
12 chapters in this module
- Governance models in global consulting firms like the firm
- Role of service owner vs. process owner in data operations
- Establishing documented authority for technical decisions
- How engineering leads contribute to service strategy
- Documenting decision rights in cross-functional teams
- Escalation paths for unplanned downtime events
- Leadership input on service improvement initiatives
- Aligning data engineering KPIs with service objectives
- Vendor oversight responsibilities in hybrid teams
- Managing stakeholder expectations across business units
- Reporting structures for service performance metrics
- Balancing innovation velocity with compliance requirements
Module 3. Service Design and Technical Scope Definition
Design robust service definitions for data engineering platforms, ensuring alignment with business expectations and operational feasibility.
12 chapters in this module
- Defining service scope for data pipelines and reporting systems
- Designing modular service components for scalability
- Service catalog entry creation for data engineering offerings
- Technical requirements for high-availability data services
- Documenting dependencies between microservices and data layers
- Capacity planning inputs from engineering teams
- Risk assessment in service design phase
- Service continuity considerations for data platforms
- Disaster recovery planning for cloud-based warehouses
- Security considerations in service architecture
- Accessibility and compliance in service design
- Version control and documentation standards
Module 4. Service Transition and Change Management
Implement structured change control for data platform updates, ensuring stability while supporting continuous delivery.
12 chapters in this module
- Change management lifecycle for Snowflake infrastructure
- Standard vs. emergency change workflows
- Impact assessment for schema and pipeline modifications
- Rollback planning for failed deployments
- Automated testing integration with change approval
- Peer review requirements for production changes
- Documentation updates during service transitions
- Release scheduling across time zones and regions
- Backout procedures for critical data services
- Post-implementation review protocols
- Vendor-led changes and approval requirements
- Change advisory board participation strategies
Module 5. Incident Management and Operational Response
Develop effective incident handling frameworks tailored to data engineering issues, reducing resolution time and improving communication.
12 chapters in this module
- Incident classification for data pipeline failures
- Tiered response models for severity levels
- Escalation procedures for extended outages
- Communication templates for stakeholder updates
- Root cause analysis methods for recurring issues
- Automated alerting thresholds and tuning
- Documentation standards for incident records
- Integration with monitoring tools like Datadog or Splunk
- Post-incident review facilitation techniques
- Trend analysis to prevent repeat incidents
- Vendor accountability in incident resolution
- Measuring incident response effectiveness
Module 6. Problem Management and Root Cause Prevention
Shift from reactive firefighting to proactive improvement by identifying systemic causes behind repeated incidents.
12 chapters in this module
- Problem identification in recurring data quality issues
- Kepner-Tregie analysis for technical root causes
- Fishbone diagrams applied to pipeline bottlenecks
- Trend detection in operational logs
- Permanent fixes vs. workarounds in database systems
- Problem prioritization based on business impact
- Knowledge base creation for common resolutions
- Linking known errors to change requests
- Vendor coordination in long-term remediation
- Preventive actions for data model degradations
- Metrics for problem resolution success
- Audit readiness for problem management records
Module 7. Configuration and Asset Management for Data Platforms
Maintain accurate records of data infrastructure components and their relationships to support compliance and troubleshooting.
12 chapters in this module
- Configuration item identification for cloud data assets
- CMDB structure for Snowflake environments
- Automated discovery tools integration
- Version tracking for data models and ETL scripts
- Access control for configuration records
- Relationship mapping between data services
- Baseline configuration documentation
- Audit trail requirements for configuration changes
- Vendor asset management integration
- Decommissioning processes for retired pipelines
- License tracking for third-party tools
- Data lineage as part of configuration management
Module 8. Vendor and Third-Party Service Management
Lead vendor evaluations and manage ongoing relationships to ensure alignment with service standards and delivery expectations.
12 chapters in this module
- Vendor selection criteria aligned with ISO 20000
- Request for proposal structure for data platform tools
- Evaluation of vendor SLAs and support capabilities
- Contractual terms for uptime and response times
- Ongoing vendor performance monitoring
- Service review meeting frameworks
- Escalation paths for underperforming vendors
- Managing multi-vendor integrations
- Documentation requirements from vendors
- Security audits for third-party providers
- Exit strategy planning for vendor transitions
- Knowledge transfer from departing vendors
Module 9. Service Level Management and Performance Reporting
Define and track meaningful service level metrics that reflect actual business value and engineering reality.
12 chapters in this module
- Defining realistic SLAs for data pipeline uptime
- SLOs for data freshness and completeness
- OLAs between engineering and downstream teams
- Reporting dashboard design principles
- Monthly service review meeting structure
- Escalation triggers for missed targets
- Negotiating achievable targets with stakeholders
- Historical trend analysis for capacity planning
- Baseline setting for new services
- Adjusting SLAs after system changes
- Documentation of service performance
- Presenting service data to executive teams
Module 10. Continual Service Improvement and Feedback Loops
Embed improvement cycles into regular operations, using data and stakeholder feedback to drive evolution.
12 chapters in this module
- CSAT survey design for internal clients
- Net promoter score usage in technical teams
- Quarterly service improvement planning
- Balancing innovation with stability demands
- Feedback integration from business users
- Engineering team retrospectives on service health
- Benchmarking against industry standards
- Documenting improvement initiatives
- Prioritizing improvements based on ROI
- Tracking implementation of improvement actions
- Sharing best practices across engagements
- Recognizing contributions to service quality
Module 11. Internal Audit Preparation and Compliance Evidence
Prepare for ISO 20000 audits by organizing evidence and demonstrating control effectiveness.
12 chapters in this module
- Audit schedule anticipation for service management
- Document retention policies for service records
- Evidence collection for incident management
- Change approval trail verification
- Configuration management audit requirements
- Vendor compliance documentation
- Interview preparation for audit teams
- Gap analysis techniques before formal review
- Remediation planning for audit findings
- Internal quality assurance reviews
- Audit response coordination
- Post-audit improvement tracking
Module 12. Leading Service Management Adoption Across Teams
Champion ISO 20000 principles across engineering groups, increasing influence without direct authority.
12 chapters in this module
- Building credibility as a service management advocate
- Informal leadership strategies in matrix organizations
- Workshop facilitation for team adoption
- Tailoring standards to team-specific contexts
- Overcoming resistance to process changes
- Recognizing early adopters and allies
- Scaling practices across global delivery teams
- Knowledge sharing event formats
- Lessons learned from pilot implementations
- Documenting success metrics for expansion
- Executive sponsorship cultivation
- Sustaining momentum after initial rollout
How this maps to your situation
- Service design inputs for upcoming the firm client projects
- Vendor evaluation cycles for new data tools
- Incident escalation improvements in global teams
- Internal audit readiness for service management compliance
Before vs. after
Before
Technical expertise spread across teams without formal recognition or influence on service management decisions.
After
Documented authority on ISO 20000 standards with direct input into vendor selection, incident escalation design, and roadmap planning.
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 90 minutes per module, designed to be completed over four weeks with weekend reading.
If nothing changes
Continuing without formalized service management knowledge may result in reduced influence during vendor selection, missed opportunities to shape incident response frameworks, and limited recognition in cross-functional decision-making forums.
How this compares to the alternatives
Generic ITIL training lacks focus on data engineering contexts; internal certifications often skip hands-on application; public workshops don’t address vendor-specific implementation challenges. This course delivers targeted, documented capability applicable to real-world delivery environments.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is prior experience with ISO 20000 required?
No. The course starts with foundational concepts and builds to advanced application in data engineering environments.
Can I access the materials after completing the course?
Yes. All templates, playbooks, and course content are yours to keep and reuse.
$199 one-time. Approximately 90 minutes per module, designed to be completed over four weeks with weekend reading..
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