Roles Strategy & Transformation
PMO Manager
Runs the project management office for a portfolio: delivery methods and standards, stage gates, portfolio reporting and resource planning across projects.
7tasks in this job
44skills it uses
13tools named
The skills this job leans on most
- 1Maintaining a risk register with owners, triggers and responsesNeeded in 6 of 7 tasks
- 2Planning delivery dependencies and the critical pathNeeded in 6 of 7 tasks
- 3Writing evidence-led findings and auditable recommendations with their limitsNeeded in 4 of 7 tasks
- 4Presenting and defending evidence-based recommendations to decision-makersNeeded in 3 of 7 tasks
- 5Testing the completeness and accuracy of reports and data that controls rely onCore to this role
ToolsMicrosoft ProjectSmartsheetPlanviewClarity PPMAntura ProjectsJiraMicrosoft ExcelMicrosoft SharePointMicrosoft PowerPointMicrosoft Power BIPower QuerySAP S/4HANAVisma ERP and accounting
All 7 tasks, where people get stuck and all 44 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Prioritise and rebalance an investment portfolio against value, capacity and benefit evidence
- 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
- Assess a project or programme at a stage gate and recommend proceed, hold or stop
- Forecast delivery capacity against portfolio demand and recommend allocation of people and supplier capacity
Where people get stuck
- Testing investment business cases under uncertainty
- Prioritising work by evidenced value, cost, risk and confidence
- Verifying project progress against accepted outcomes
All skills
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Assessing data source credibility and fitness for a question
- Assigning and operating data ownership and stewardship
- Building decision-focused reports and dashboards
- Communicating sensitive or unwelcome analytical findings
- Comparing periods consistently
- Constructing clear and honest charts
- Coordinating accountable handoffs between teams
- 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
- Prioritising work by evidenced value, cost, risk and confidence
- Reading business metrics
- 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
- Verifying AI-assisted outputs against sources
- Verifying project progress against accepted outcomes
- 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
Evidence-based Briefing and Influence
Brief and influence accountable decision-makers with evidence, its limits and unwelcome findings, and check the message landed.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonDelivering Data and AI Projects with Evidence
8tasks in this job
82skills it uses
14tools named
The skills this job leans on most
- 1Prioritising work by evidenced value, cost, risk and confidenceNeeded in 6 of 8 tasks
- 2Maintaining a risk register with owners, triggers and responsesNeeded in 6 of 8 tasks
- 3Writing evidence-led findings and auditable recommendations with their limitsNeeded in 5 of 8 tasks
- 4Presenting and defending evidence-based recommendations to decision-makersNeeded in 3 of 8 tasks
- 5Testing investment business cases under uncertaintyNeeded in 2 of 8 tasks
ToolsMicrosoft ProjectPlanviewClarity PPMJiraSmartsheetMicrosoft Excel+ 8 more
All 8 tasks, where people get stuck and all 82 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Prioritise and rebalance an investment portfolio against value, capacity and benefit evidence
- Verify project deliverables and accept a controlled handoff
- Prepare a periodic performance or risk report for a management or governance committee
- Automate a recurring reporting or data task with controls and a named owner
- Forecast project cost and schedule against the baseline and explain variance
- Assess a project or programme at a stage gate and recommend proceed, hold or stop
- Forecast delivery capacity against portfolio demand and recommend allocation of people and supplier capacity
Where people get stuck
- Prioritising work by evidenced value, cost, risk and confidence
- Assessing change risk, collisions and go or no-go
All skills
- Maintaining a risk register with owners, triggers and responses
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Testing investment business cases under uncertainty
- Writing evidence-led findings and auditable recommendations with their limits
- Appraising options on a common incremental basis against a do-nothing baseline
- Assessing data source credibility and fitness for a question
- Assigning and operating data ownership and stewardship
- Building cohort and retention analyses with correct denominators
- Building data protection by design into data products and pipelines
- Building decision-focused reports and dashboards
- Communicating quantified uncertainty
- Communicating sensitive or unwelcome analytical findings
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Constructing clear and honest charts
- Coordinating accountable handoffs between teams
- Defining measurable outcomes and leading indicators
- Designing and comparing decision scenarios
- Designing and versioning data contracts for consumers
- Designing automated pipelines and processes that fail safely and recover
- Designing decision-oriented research with customers, users or employees
- Designing efficient and reproducible investigations
- Designing experiments
- Designing semantic models for governed analytics
- Diagnosing data quality exceptions
- Diagnosing misleading data visualisations
- Diagnosing operational handoffs and flow
- Disclosing AI contribution to professional work
- Eliciting the decision behind an analytical request
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Estimating and challenging causal effects
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Evaluating product outcomes and metric integrity
- Explaining technical work to accountable non-specialists
- Facilitating evidence-led retrospectives and corrective actions
- Forecasting project cost and schedule from progress evidence
- Gating releases on evidence with rollback ready
- Giving specific developmental feedback on data and AI work
- Identifying and quantifying decision downside and exposure
- Identifying keys and testing referential integrity
- Independently checking analytical conclusions and claims
- Influencing change without formal authority
- Interpreting correlation without inferring cause
- Interpreting customer feedback and qualitative evidence
- 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 external evidence applies to the decision context
- Judging whether uncertainty changes the decision
- Making accountable decisions under uncertainty
- Mapping stakeholders' decisions, constraints and needs
- Monitoring data quality and freshness in production
- Planning delivery dependencies and the critical path
- Rating risks against appetite and choosing proportionate treatment
- Reading business metrics
- Reading charts and dashboards correctly, including their state
- Reasoning about systems, feedback and second-order effects
- 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
- Revising prior decisions when evidence changes
- Sampling and reviewing a team's work against standards
- Selecting charts for evidence and decisions
- 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
- Testing, implementing and sustaining measured improvements
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Variance analysis
- Verifying AI-assisted outputs against sources
- Verifying benefits realisation and attribution
- Verifying project progress against accepted outcomes
- Verifying reports and dashboards before and after release
- Working through stakeholder conflict over evidence and responsibility
- Writing verifiable requirements and acceptance criteria
All tools
- Microsoft Project
- Planview
- Clarity PPM
- Jira
- Smartsheet
- Microsoft Excel
- Microsoft SharePoint
- Microsoft Power BI
- Microsoft PowerPoint
- Power Query
- Power Automate
- SAP S/4HANA
- Visma ERP and accounting
- Antura Projects
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
Evidence-based Briefing and Influence
Brief and influence accountable decision-makers with evidence, its limits and unwelcome findings, and check the message landed.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonDelivering Data and AI Projects with EvidenceFinancial Modelling and Decision Support
7tasks in this job
82skills it uses
15tools named
The skills this job leans on most
- 1Writing evidence-led findings and auditable recommendations with their limitsNeeded in 5 of 7 tasks
- 2Prioritising work by evidenced value, cost, risk and confidenceNeeded in 5 of 7 tasks
- 3Maintaining a risk register with owners, triggers and responsesNeeded in 5 of 7 tasks
- 4Presenting and defending evidence-based recommendations to decision-makersNeeded in 3 of 7 tasks
- 5Testing investment business cases under uncertaintyNeeded in 2 of 7 tasks
ToolsMicrosoft ProjectSmartsheetServiceNowMicrosoft ExcelMicrosoft PowerPointPlanview+ 9 more
All 7 tasks, where people get stuck and all 82 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Prioritise and rebalance an investment portfolio against value, capacity and benefit evidence
- Prepare a periodic performance or risk report for a management or governance committee
- Automate a recurring reporting or data task with controls and a named owner
- Forecast project cost and schedule against the baseline and explain variance
- Assess a project or programme at a stage gate and recommend proceed, hold or stop
- Forecast delivery capacity against portfolio demand and recommend allocation of people and supplier capacity
Where people get stuck
- Prioritising work by evidenced value, cost, risk and confidence
- Assessing change risk, collisions and go or no-go
All skills
- Maintaining a risk register with owners, triggers and responses
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Testing investment business cases under uncertainty
- Writing evidence-led findings and auditable recommendations with their limits
- Appraising options on a common incremental basis against a do-nothing baseline
- Assessing data source credibility and fitness for a question
- Assigning and operating data ownership and stewardship
- Building cohort and retention analyses with correct denominators
- Building data protection by design into data products and pipelines
- Building decision-focused reports and dashboards
- Communicating quantified uncertainty
- Communicating sensitive or unwelcome analytical findings
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Constructing clear and honest charts
- Coordinating accountable handoffs between teams
- Defining measurable outcomes and leading indicators
- Designing and comparing decision scenarios
- Designing and versioning data contracts for consumers
- Designing automated pipelines and processes that fail safely and recover
- Designing decision-oriented research with customers, users or employees
- Designing efficient and reproducible investigations
- Designing experiments
- Designing semantic models for governed analytics
- Diagnosing data quality exceptions
- Diagnosing misleading data visualisations
- Diagnosing operational handoffs and flow
- Disclosing AI contribution to professional work
- Eliciting the decision behind an analytical request
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Estimating and challenging causal effects
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Evaluating product outcomes and metric integrity
- Explaining technical work to accountable non-specialists
- Facilitating evidence-led retrospectives and corrective actions
- Forecasting project cost and schedule from progress evidence
- Gating releases on evidence with rollback ready
- Giving specific developmental feedback on data and AI work
- Identifying and quantifying decision downside and exposure
- Identifying keys and testing referential integrity
- Independently checking analytical conclusions and claims
- Influencing change without formal authority
- Interpreting correlation without inferring cause
- Interpreting customer feedback and qualitative evidence
- 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 external evidence applies to the decision context
- Judging whether uncertainty changes the decision
- Making accountable decisions under uncertainty
- Mapping stakeholders' decisions, constraints and needs
- Monitoring data quality and freshness in production
- Planning delivery dependencies and the critical path
- Rating risks against appetite and choosing proportionate treatment
- Reading business metrics
- Reading charts and dashboards correctly, including their state
- Reasoning about systems, feedback and second-order effects
- 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
- Revising prior decisions when evidence changes
- Sampling and reviewing a team's work against standards
- Selecting charts for evidence and decisions
- 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
- Testing, implementing and sustaining measured improvements
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Variance analysis
- Verifying AI-assisted outputs against sources
- Verifying benefits realisation and attribution
- Verifying project progress against accepted outcomes
- Verifying reports and dashboards before and after release
- Working through stakeholder conflict over evidence and responsibility
- Writing verifiable requirements and acceptance criteria
All tools
- Microsoft Project
- Smartsheet
- ServiceNow
- Microsoft Excel
- Microsoft PowerPoint
- Planview
- Microsoft Power BI
- Power Query
- Power Automate
- SAP S/4HANA
- Visma ERP and accounting
- Clarity PPM
- Antura Projects
- Microsoft SharePoint
- Jira
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
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
Evidence-based Briefing and Influence
Brief and influence accountable decision-makers with evidence, its limits and unwelcome findings, and check the message landed.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonDelivering Data and AI Projects with Evidence
About the role
Runs the project management office for a portfolio: delivery methods and standards, stage gates, portfolio reporting and resource planning across projects. Manages the PMO team, usually PMO analysts and coordinators, and supports the project managers who deliver. Data judgement sits in deciding how delivery data is reported and challenging progress that does not match the evidence.
Also called Delivery Office Manager, Project Management Office Manager