Explore Tasks
Design data-dependent controls for a new or changed finance or people process, system or automation
The control owner receives a control design (risk, control, evidence, data and report relied on, frequency, owner) for a new or changed process, system or automation, ready for testing under L02-PROP-T01.
4jobs do it
5jobs help with it
31skills it needs
- Accounts Payable Team Lead
- Financial Controller
- Finance Systems Analyst
- Credit Manager
- Accounts Payable Specialist
- Group Financial Controller
- Payroll Specialist
- People Operations Lead
- People Operations Manager
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
- Designing automated pipelines and processes that fail safely and recover
- Designing and running evaluations of AI systems
- Classifying AI uses against regulatory obligations
- Designing and appraising samples
- Enforcing and auditing data access
- Designing testable data controls
- Monitoring and testing data control effectiveness
- Mapping proposed process changes and control impacts
- Testing the completeness and accuracy of reports and data that controls rely on
- Explaining control types, dependencies and compensating controls
- Identifying and quantifying decision downside and exposure
- Making accountable decisions under uncertainty
- Revising prior decisions when evidence changes
- Reasoning about systems, feedback and second-order effects
- Facilitating group decisions using disputed evidence
- Rating risks against appetite and choosing proportionate treatment
- Recognising and resolving ethical conflicts in data and AI work
- Writing evidence-led findings and auditable recommendations with their limits
- Interpreting policy scope and delegated authority limits
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
Business Data Controls and Reconciliation
Design, test and operate controls and reconciliations.
- 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