Roles Strategy & Transformation
Project Manager
Accountable for delivering one project's agreed scope and accepting its deliverables, while a Programme Manager owns benefits across several projects.
4tasks in this job
32skills it uses
12tools named
The skills this job leans on most
- 1Writing verifiable requirements and acceptance criteriaNeeded in 3 of 4 tasks
- 2Coordinating accountable handoffs between teamsNeeded in 3 of 4 tasks
- 3Maintaining a risk register with owners, triggers and responsesNeeded in 3 of 4 tasks
- 4Planning delivery dependencies and the critical pathNeeded in 3 of 4 tasks
- 5Verifying project progress against accepted outcomesNeeded in 3 of 4 tasks
ToolsMicrosoft ProjectMicrosoft ExcelMicrosoft SharePointJiraMicrosoft 365 CopilotAzure DevOpsMicrosoft PowerPointMicrosoft Power BISAP S/4HANAVisma ERP and accountingAntura ProjectsOracle Primavera P6
All 4 tasks, where people get stuck and all 32 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Verify project deliverables and accept a controlled handoff
- Prepare a periodic performance or risk report for a management or governance committee
- Forecast project cost and schedule against the baseline and explain variance
Where people get stuck
All skills
- Coordinating accountable handoffs between teams
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Verifying project progress against accepted outcomes
- Writing verifiable requirements and acceptance criteria
- Assigning and operating data ownership and stewardship
- Building decision-focused reports and dashboards
- Communicating sensitive or unwelcome analytical findings
- Constructing clear and honest charts
- Designing efficient and reproducible investigations
- Diagnosing data quality exceptions
- Diagnosing misleading data visualisations
- Diagnosing operational handoffs and flow
- Disclosing AI contribution to professional work
- Escalating unresolved risks with evidence and clear ownership
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Explaining technical work to accountable non-specialists
- Forecasting project cost and schedule from progress evidence
- Interpreting correlation without inferring cause
- Interpreting policy scope and delegated authority limits
- Investigating anomalies
- Judging whether a change exceeds normal variation
- Reading charts and dashboards correctly, including their state
- Recognising misleading numerical claims
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Repairing data defects reversibly under owner authority
- Selecting charts for evidence and decisions
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
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
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 soonDelivering Data and AI Projects with Evidence
4tasks in this job
41skills it uses
13tools named
The skills this job leans on most
- 1Writing verifiable requirements and acceptance criteriaNeeded in 3 of 4 tasks
- 2Coordinating accountable handoffs between teamsNeeded in 3 of 4 tasks
- 3Maintaining a risk register with owners, triggers and responsesNeeded in 3 of 4 tasks
- 4Planning delivery dependencies and the critical pathNeeded in 3 of 4 tasks
- 5Verifying project progress against accepted outcomesNeeded in 3 of 4 tasks
ToolsMicrosoft ProjectMicrosoft SharePointJiraMicrosoft 365 CopilotSmartsheetAzure DevOps+ 7 more
All 4 tasks, where people get stuck and all 41 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Verify project deliverables and accept a controlled handoff
- Prepare a periodic performance or risk report for a management or governance committee
- Forecast project cost and schedule against the baseline and explain variance
Where people get stuck
All skills
- Coordinating accountable handoffs between teams
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Verifying project progress against accepted outcomes
- Writing verifiable requirements and acceptance criteria
- Assigning and operating data ownership and stewardship
- Building decision-focused reports and dashboards
- Communicating quantified uncertainty
- Communicating sensitive or unwelcome analytical findings
- Constructing clear and honest charts
- Designing efficient and reproducible investigations
- Diagnosing data quality exceptions
- Diagnosing misleading data visualisations
- Diagnosing operational handoffs and flow
- Disclosing AI contribution to professional work
- Escalating unresolved risks with evidence and clear ownership
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Explaining technical work to accountable non-specialists
- Facilitating evidence-led retrospectives and corrective actions
- Forecasting project cost and schedule from progress evidence
- Influencing change without formal authority
- Interpreting correlation without inferring cause
- Interpreting policy scope and delegated authority limits
- Investigating anomalies
- Judging whether a change exceeds normal variation
- Judging whether uncertainty changes the decision
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Reading charts and dashboards correctly, including their state
- Recognising and resolving ethical conflicts in data and AI work
- Recognising misleading numerical claims
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Repairing data defects reversibly under owner authority
- Selecting charts for evidence and decisions
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Working through stakeholder conflict over evidence and responsibility
- Writing evidence-led findings and auditable recommendations with their limits
All tools
- Microsoft Project
- Microsoft SharePoint
- Jira
- Microsoft 365 Copilot
- Smartsheet
- Azure DevOps
- Microsoft PowerPoint
- Microsoft Power BI
- Microsoft Excel
- SAP S/4HANA
- Visma ERP and accounting
- Antura Projects
- Oracle Primavera P6
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
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 soonDelivering Data and AI Projects with EvidenceData Product Reliability: Release Gates, Service Levels and Incidents
4tasks in this job
47skills it uses
13tools named
The skills this job leans on most
- 1Writing verifiable requirements and acceptance criteriaNeeded in 3 of 4 tasks
- 2Coordinating accountable handoffs between teamsNeeded in 3 of 4 tasks
- 3Maintaining a risk register with owners, triggers and responsesNeeded in 3 of 4 tasks
- 4Planning delivery dependencies and the critical pathNeeded in 3 of 4 tasks
- 5Verifying project progress against accepted outcomesNeeded in 3 of 4 tasks
ToolsMicrosoft ProjectSmartsheetAntura ProjectsMicrosoft SharePointJiraServiceNow+ 7 more
All 4 tasks, where people get stuck and all 47 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Verify project deliverables and accept a controlled handoff
- Prepare a periodic performance or risk report for a management or governance committee
- Forecast project cost and schedule against the baseline and explain variance
Where people get stuck
All skills
- Coordinating accountable handoffs between teams
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Verifying project progress against accepted outcomes
- Writing verifiable requirements and acceptance criteria
- Assigning and operating data ownership and stewardship
- Building decision-focused reports and dashboards
- Communicating quantified uncertainty
- Communicating sensitive or unwelcome analytical findings
- Constructing clear and honest charts
- Designing efficient and reproducible investigations
- Diagnosing data quality exceptions
- Diagnosing misleading data visualisations
- Diagnosing operational handoffs and flow
- Disclosing AI contribution to professional work
- Escalating unresolved risks with evidence and clear ownership
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Explaining technical work to accountable non-specialists
- Facilitating evidence-led retrospectives and corrective actions
- Forecasting project cost and schedule from progress evidence
- Giving specific developmental feedback on data and AI work
- Independently checking analytical conclusions and claims
- Influencing change without formal authority
- Interpreting correlation without inferring cause
- Interpreting policy scope and delegated authority limits
- Investigating anomalies
- Judging the materiality of defects and deficiencies for the intended use
- Judging whether a change exceeds normal variation
- Judging whether uncertainty changes the decision
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Reading charts and dashboards correctly, including their state
- Recognising and resolving ethical conflicts in data and AI work
- Recognising misleading numerical claims
- 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
- Selecting charts for evidence and decisions
- 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 evidence-led findings and auditable recommendations with their limits
All tools
- Microsoft Project
- Smartsheet
- Antura Projects
- Microsoft SharePoint
- Jira
- ServiceNow
- Azure DevOps
- Microsoft PowerPoint
- Microsoft Power BI
- Microsoft Excel
- Oracle Primavera P6
- SAP S/4HANA
- Visma ERP and accounting
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
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 soonDelivering Data and AI Projects with EvidenceData Product Reliability: Release Gates, Service Levels and Incidents
About the role
Accountable for delivering one project's agreed scope and accepting its deliverables, while a Programme Manager owns benefits across several projects. Controls risks, dependencies and change requests and decides when work is ready to accept. Data and technology judgement sits in reading delivery data honestly and judging whether technical deliverables meet their criteria.
Also called Delivery Manager