5tasks in this job
41skills it uses
5tools named
The skills this job leans on most
- 1Designing and applying governed tender evaluation criteriaNeeded in 3 of 5 tasks
- 2Rating risks against appetite and choosing proportionate treatmentNeeded in 3 of 5 tasks
- 3Analysing supply markets and choosing a sourcing routeNeeded in 3 of 5 tasks
- 4Identifying and quantifying decision downside and exposureNeeded in 2 of 5 tasks
- 5Assessing supplier dependency, data-handling and exit riskNeeded in 2 of 5 tasks
ToolsSAP S/4HANAMicrosoft Power BISAP FieldglassSAP AribaCoupaJaggaerMercellMicrosoft ExcelPower AutomateEcoVadisWorldfavor
All 5 tasks, where people get stuck and all 41 skills
Tasks
- Review supplier performance against contract obligations and recommend renewal or remedy
- Run controlled competitive-sourcing evaluation and award handoff
- Assess supplier risk and maintain the supplier risk register
- Develop a category strategy from spend, market and supplier evidence
- Classify spend to the category taxonomy and maintain a trusted spend baseline
Where people get stuck
- Evaluating supplier total cost and value
- Interpreting supplier contract duties, terms and exposure
- Classifying spend to a category taxonomy and maintaining a trusted baseline
All skills
- Analysing supply markets and choosing a sourcing route
- Assessing supplier dependency, data-handling and exit risk
- Designing and applying governed tender evaluation criteria
- Applying data classification and handling rules
- Assessing data source credibility and fitness for a question
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Assigning and operating data ownership and stewardship
- Calculating and verifying KPIs against their specification
- Classifying spend to a category taxonomy and maintaining a trusted baseline
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Coordinating accountable handoffs between teams
- Designing and validating digital analytics event measurement
- Designing and versioning data contracts for consumers
- Diagnosing data quality exceptions
- Diagnosing duplicate records
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Evaluating supplier total cost and value
- Explaining how business events flow into accounting records
- Governing shared data definitions
- Influencing change without formal authority
- Interpreting supplier contract duties, terms and exposure
- Investigating procurement spend leakage and duplicate commitments
- Judging the materiality of defects and deficiencies for the intended use
- Managing master data identities and exceptions
- Monitoring data quality and freshness in production
- Profiling data
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Recognising and resolving ethical conflicts in data and AI work
- Reconciling conflicting reports
- Reconciling finance subledgers and close records
- Repairing data defects reversibly under owner authority
- Standardising and cleaning data under agreed rules
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Writing data quality rules
- Writing verifiable requirements and acceptance criteria
Paths to start
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
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
6tasks in this job
47skills it uses
6tools named
The skills this job leans on most
- 1Evaluating supplier total cost and valueNeeded in 6 of 6 tasks
- 2Interpreting supplier contract duties, terms and exposureNeeded in 6 of 6 tasks
- 3Designing and applying governed tender evaluation criteriaNeeded in 3 of 6 tasks
- 4Assessing supplier dependency, data-handling and exit riskNeeded in 3 of 6 tasks
- 5Identifying and quantifying decision downside and exposureNeeded in 2 of 6 tasks
ToolsMicrosoft Power BISAP S/4HANASAP AribaCoupaJaggaerMicrosoft Excel
All 6 tasks, where people get stuck and all 47 skills
Tasks
- Review supplier performance against contract obligations and recommend renewal or remedy
- Run controlled competitive-sourcing evaluation and award handoff
- Investigate procurement spend leakage and duplicate commitments
- Assess supplier risk and maintain the supplier risk register
- Develop a category strategy from spend, market and supplier evidence
- Classify spend to the category taxonomy and maintain a trusted spend baseline
Where people get stuck
- Identifying and quantifying decision downside and exposure
- Evaluating supplier total cost and value
- Assessing supplier dependency, data-handling and exit risk
All skills
- Assessing supplier dependency, data-handling and exit risk
- Designing and applying governed tender evaluation criteria
- Evaluating supplier total cost and value
- Interpreting supplier contract duties, terms and exposure
- Analysing supply markets and choosing a sourcing route
- Applying data classification and handling rules
- Assessing data source credibility and fitness for a question
- Assessing data-service continuity and recoverability
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Assessing privacy risk through data protection impact assessments
- Assigning and operating data ownership and stewardship
- Calculating and verifying KPIs against their specification
- Classifying AI uses against regulatory obligations
- Classifying spend to a category taxonomy and maintaining a trusted baseline
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Coordinating accountable handoffs between teams
- Designing and validating digital analytics event measurement
- Designing and versioning data contracts for consumers
- Diagnosing data quality exceptions
- Diagnosing duplicate records
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Evaluating responsible AI use risks
- Explaining how business events flow into accounting records
- Governing shared data definitions
- Influencing change without formal authority
- Interpreting policy scope and delegated authority limits
- Investigating procurement spend leakage and duplicate commitments
- Judging the materiality of defects and deficiencies for the intended use
- Managing master data identities and exceptions
- Monitoring data quality and freshness in production
- Profiling data
- Rating risks against appetite and choosing proportionate treatment
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Recognising and resolving ethical conflicts in data and AI work
- Reconciling conflicting reports
- Reconciling finance subledgers and close records
- Repairing data defects reversibly under owner authority
- Standardising and cleaning data under agreed rules
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Writing data quality rules
- Writing verifiable requirements and acceptance criteria
Paths to start
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
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
8tasks in this job
67skills it uses
11tools named
The skills this job leans on most
- 1Evaluating supplier total cost and valueNeeded in 6 of 8 tasks
- 2Interpreting supplier contract duties, terms and exposureNeeded in 6 of 8 tasks
- 3Designing and applying governed tender evaluation criteriaNeeded in 3 of 8 tasks
- 4Assessing supplier dependency, data-handling and exit riskNeeded in 3 of 8 tasks
- 5Identifying and quantifying decision downside and exposureNeeded in 2 of 8 tasks
ToolsSAP S/4HANAMicrosoft Power BISAP FieldglassSAP AribaCoupaJaggaer+ 5 more
All 8 tasks, where people get stuck and all 67 skills
Tasks
- Review supplier performance against contract obligations and recommend renewal or remedy
- Run controlled competitive-sourcing evaluation and award handoff
- Investigate procurement spend leakage and duplicate commitments
- Automate a recurring reporting or data task with controls and a named owner
- Monitor and correct data quality in a domain or system of record and drive remediation at source
- Assess supplier risk and maintain the supplier risk register
- Develop a category strategy from spend, market and supplier evidence
- Classify spend to the category taxonomy and maintain a trusted spend baseline
Where people get stuck
- Identifying and quantifying decision downside and exposure
- Evaluating supplier total cost and value
- Assessing supplier dependency, data-handling and exit risk
All skills
- Assessing supplier dependency, data-handling and exit risk
- Designing and applying governed tender evaluation criteria
- Evaluating supplier total cost and value
- Interpreting supplier contract duties, terms and exposure
- Analysing supply markets and choosing a sourcing route
- Applying data classification and handling rules
- Assessing data source credibility and fitness for a question
- Assessing data-service continuity and recoverability
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Assessing privacy risk through data protection impact assessments
- Assigning and operating data ownership and stewardship
- Building data protection by design into data products and pipelines
- Building decision-focused reports and dashboards
- Calculating and verifying KPIs against their specification
- Classifying AI uses against regulatory obligations
- Classifying spend to a category taxonomy and maintaining a trusted baseline
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Coordinating accountable handoffs between teams
- Designing and validating digital analytics event measurement
- Designing and versioning data contracts for consumers
- Designing automated pipelines and processes that fail safely and recover
- Designing efficient and reproducible investigations
- Designing semantic models for governed analytics
- Diagnosing data quality exceptions
- Diagnosing duplicate records
- Diagnosing misleading data visualisations
- Diagnosing operational handoffs and flow
- Disclosing AI contribution to professional work
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Evaluating responsible AI use risks
- Explaining how business events flow into accounting records
- Facilitating evidence-led retrospectives and corrective actions
- Gating releases on evidence with rollback ready
- Giving specific developmental feedback on data and AI work
- Governing shared data definitions
- Identifying keys and testing referential integrity
- Independently checking analytical conclusions and claims
- Influencing change without formal authority
- Interpreting policy scope and delegated authority limits
- Investigating anomalies
- Investigating procurement spend leakage and duplicate commitments
- Judging the materiality of defects and deficiencies for the intended use
- Managing master data identities and exceptions
- Monitoring data quality and freshness in production
- Profiling data
- Rating risks against appetite and choosing proportionate treatment
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Recognising and resolving ethical conflicts in data and AI work
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Reconciling finance subledgers and close records
- Repairing data defects reversibly under owner authority
- Sampling and reviewing a team's work against standards
- Standardising and cleaning data under agreed rules
- Testing changes to data services and business systems for business meaning and downstream impact
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Verifying AI-assisted outputs against sources
- Verifying reports and dashboards before and after release
- Working through stakeholder conflict over evidence and responsibility
- Writing data quality rules
- Writing verifiable requirements and acceptance criteria
Paths to start
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
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
About the role
Accountable for sourcing strategy and supplier performance within one spend category. Owns the category's sourcing events and supplier actions but not sourcing governance or a procurement team. Data judgement sits in using spend and supplier performance data to decide where to act.
Also called Category Manager