Explore Tasks
Plan and demonstrate controlled data-service restoration
The service owner receives a tested restoration plan with achieved recovery times and data verification.
1job does it
1job helps with it
30skills it needs
Does itHelps with it
- Reading and tracing unfamiliar code
- Reviewing human- and AI-generated code changes for correctness and risk
- Sampling and reviewing a team's work against standards
- Diagnosing misleading data visualisations
- Verifying reports and dashboards before and after release
- Verifying AI-assisted outputs against sources
- Disclosing AI contribution to professional work
- Testing competing explanations with discriminating evidence
- Independently checking analytical conclusions and claims
- Escalating unresolved risks with evidence and clear ownership
- Giving specific developmental feedback on data and AI work
- Judging the materiality of defects and deficiencies for the intended use
- Gating releases on evidence with rollback ready
- Assessing data-service continuity and recoverability
- Testing changes to data services and business systems for business meaning and downstream impact
- Recovering data pipelines safely
- Planning and validating controlled data migrations
- Explaining technical work to accountable non-specialists
- Coordinating accountable handoffs between teams
- Facilitating evidence-led retrospectives and corrective actions
- Running incident command: severity, timeline and status updates
- Mapping proposed process changes and control impacts
- Rating risks against appetite and choosing proportionate treatment
- Assessing change risk, collisions and go or no-go
- Interpreting policy scope and delegated authority limits
- Designing automated pipelines and processes that fail safely and recover
- Evaluating software architecture for data and AI systems
- Setting and reviewing reliability objectives and error budgets for data and AI services
- Monitoring data quality and freshness in production
- Evaluating service performance and quality trade-offs
Paths that teach the skills it needs
Skill Path
Data Literacy for Business Decisions
Judge whether a business claim from a table, KPI, chart or dashboard really holds up.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Diagnostic Investigation and Root Cause Analysis
Resolve contradictory evidence and find, verify and prevent the causes of business and data anomalies.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Data Visualisation and Dashboard Design
Design honest, accessible charts and decision-useful dashboards and verify them before release.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonData Product Reliability: Release Gates, Service Levels and IncidentsData Platform Architecture, Integration and Economics