Operations Team Lead
Runs a shift, site team or process area day to day and is accountable for its output, quality and exceptions.
3tasks in this job
23skills it uses
10tools named
The skills this job leans on most
- 1Diagnosing operational handoffs and flowNeeded in 3 of 3 tasks
- 2Converting demand into capacity requirementsNeeded in 2 of 3 tasks
- 3Investigating anomaliesNeeded in 2 of 3 tasks
- 4Evaluating service performance and quality trade-offsNeeded in 2 of 3 tasks
- 5Analysing queue behaviour, capacity and service constraintsNeeded in 2 of 3 tasks
ToolsMicrosoft ExcelSAP S/4HANAServiceNowIFS CloudMicrosoft Power BIWorkdaySympa HRSafetyCulture (iAuditor)EcoOnlineIA-systemet
All 3 tasks, where people get stuck and all 23 skills
Tasks
- Diagnose operational and fulfilment exceptions and agree corrective ownership
- Plan service capacity, schedules and routing against service levels
- Analyse health and safety incidents and inspection data and track corrective actions to closure
Where people get stuck
- Evaluating service performance and quality trade-offs
- Testing competing explanations with discriminating evidence
All skills
- Analysing queue behaviour, capacity and service constraints
- Converting demand into capacity requirements
- Diagnosing operational handoffs and flow
- Investigating anomalies
- Assigning and operating data ownership and stewardship
- Balancing territories and quotas from account potential
- Defining measurable outcomes and leading indicators
- Designing efficient and reproducible investigations
- Diagnosing data quality exceptions
- Eliciting needs through interviews, workshops and observation
- Escalating unresolved risks with evidence and clear ownership
- Mapping customer journeys and evidence gaps
- Mapping proposed process changes and control impacts
- Mapping stakeholders' decisions, constraints and needs
- Reading business metrics
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Repairing data defects reversibly under owner authority
- Specifying decision-useful reports
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Writing verifiable requirements and acceptance criteria
Paths to start
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
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
Coming soonService Operations Analytics and Capacity Planning
3tasks in this job
39skills it uses
10tools named
The skills this job leans on most
- 1Diagnosing operational handoffs and flowNeeded in 3 of 3 tasks
- 2Converting demand into capacity requirementsNeeded in 2 of 3 tasks
- 3Investigating anomaliesNeeded in 2 of 3 tasks
- 4Evaluating service performance and quality trade-offsNeeded in 2 of 3 tasks
- 5Analysing queue behaviour, capacity and service constraintsNeeded in 2 of 3 tasks
ToolsMicrosoft ExcelSAP S/4HANAServiceNowIFS CloudMicrosoft Power BIWorkday+ 4 more
All 3 tasks, where people get stuck and all 39 skills
Tasks
- Diagnose operational and fulfilment exceptions and agree corrective ownership
- Plan service capacity, schedules and routing against service levels
- Analyse health and safety incidents and inspection data and track corrective actions to closure
Where people get stuck
- Evaluating service performance and quality trade-offs
- Testing competing explanations with discriminating evidence
All skills
- Analysing queue behaviour, capacity and service constraints
- Converting demand into capacity requirements
- Diagnosing operational handoffs and flow
- Evaluating service performance and quality trade-offs
- Investigating anomalies
- Assigning and operating data ownership and stewardship
- Balancing territories and quotas from account potential
- Defining measurable outcomes and leading indicators
- Designing and comparing decision scenarios
- Designing efficient and reproducible investigations
- Diagnosing data quality exceptions
- Diagnosing misleading data visualisations
- Disclosing AI contribution to professional work
- Discovering process variants from event logs
- Eliciting needs through interviews, workshops and observation
- Escalating unresolved risks with evidence and clear ownership
- Facilitating evidence-led retrospectives and corrective actions
- Forecasting operational demand at interval and site grain
- Giving specific developmental feedback on data and AI work
- Independently checking analytical conclusions and claims
- Influencing change without formal authority
- Judging the materiality of defects and deficiencies for the intended use
- Maintaining requirements traceability and change control
- Making accountable decisions under uncertainty
- Mapping customer journeys and evidence gaps
- Mapping proposed process changes and control impacts
- Mapping stakeholders' decisions, constraints and needs
- Reading business metrics
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Repairing data defects reversibly under owner authority
- Specifying decision-useful reports
- 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 verifiable requirements and acceptance criteria
Paths to start
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
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
Discovering Requirements and Defining Metrics
Turn stakeholder needs into verifiable requirements and governed metric definitions with owners, grain and acceptance tests.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonService Operations Analytics and Capacity Planning
4tasks in this job
40skills it uses
10tools named
The skills this job leans on most
- 1Diagnosing operational handoffs and flowNeeded in 4 of 4 tasks
- 2Investigating anomaliesNeeded in 3 of 4 tasks
- 3Converting demand into capacity requirementsNeeded in 2 of 4 tasks
- 4Evaluating service performance and quality trade-offsNeeded in 2 of 4 tasks
- 5Analysing queue behaviour, capacity and service constraintsNeeded in 2 of 4 tasks
ToolsMicrosoft ExcelSAP S/4HANAServiceNowIFS CloudMicrosoft Power BIWorkday+ 4 more
All 4 tasks, where people get stuck and all 40 skills
Tasks
- Diagnose operational and fulfilment exceptions and agree corrective ownership
- Plan service capacity, schedules and routing against service levels
- Analyse a current business process from event and operational data and define the future-state process
- Analyse health and safety incidents and inspection data and track corrective actions to closure
Where people get stuck
- Evaluating service performance and quality trade-offs
- Testing competing explanations with discriminating evidence
All skills
- Analysing queue behaviour, capacity and service constraints
- Converting demand into capacity requirements
- Diagnosing operational handoffs and flow
- Evaluating service performance and quality trade-offs
- Investigating anomalies
- Assigning and operating data ownership and stewardship
- Balancing territories and quotas from account potential
- Defining measurable outcomes and leading indicators
- Designing and comparing decision scenarios
- Designing efficient and reproducible investigations
- Diagnosing data quality exceptions
- Diagnosing misleading data visualisations
- Disclosing AI contribution to professional work
- Discovering process variants from event logs
- Eliciting needs through interviews, workshops and observation
- Escalating unresolved risks with evidence and clear ownership
- Facilitating evidence-led retrospectives and corrective actions
- Forecasting operational demand at interval and site grain
- Giving specific developmental feedback on data and AI work
- Independently checking analytical conclusions and claims
- Influencing change without formal authority
- Judging the materiality of defects and deficiencies for the intended use
- Maintaining requirements traceability and change control
- Making accountable decisions under uncertainty
- Mapping customer journeys and evidence gaps
- Mapping proposed process changes and control impacts
- Mapping stakeholders' decisions, constraints and needs
- Reading business metrics
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Repairing data defects reversibly under owner authority
- Sampling and reviewing a team's work against standards
- Specifying decision-useful reports
- 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 verifiable requirements and acceptance criteria
Paths to start
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
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
Discovering Requirements and Defining Metrics
Turn stakeholder needs into verifiable requirements and governed metric definitions with owners, grain and acceptance tests.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonService Operations Analytics and Capacity Planning
About the role
Runs a shift, site team or process area day to day and is accountable for its output, quality and exceptions. Decides daily priorities and judges whether operational measures show a real problem or normal variation. Supervises the shift without owning staffing budgets or unit-wide process changes, which sit with the Operations Manager.
Also called Operations Supervisor, Operations Team Leader