Roles Strategy & Transformation
Programme Manager
Accountable for a programme of interdependent projects, its change control and the benefits it realises.
5tasks in this job
46skills it uses
10tools named
The skills this job leans on most
- 1Maintaining a risk register with owners, triggers and responsesNeeded in 4 of 5 tasks
- 2Planning delivery dependencies and the critical pathNeeded in 4 of 5 tasks
- 3Verifying benefits realisation and attributionNeeded in 2 of 5 tasks
- 4Defining measurable outcomes and leading indicatorsNeeded in 1 of 5 tasks
- 5Assessing change risk, collisions and go or no-goCore to this role
ToolsMicrosoft ProjectMicrosoft SharePointServiceNowSmartsheetMicrosoft PowerPointMicrosoft Power BIMicrosoft ExcelPlanviewSAP S/4HANAVisma ERP and accounting
All 5 tasks, where people get stuck and all 46 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Prepare a periodic performance or risk report for a management or governance committee
- Track and verify benefits realisation against the business case
- 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
Where people get stuck
All skills
- Defining measurable outcomes and leading indicators
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Verifying benefits realisation and attribution
- Assigning and operating data ownership and stewardship
- Building decision-focused reports and dashboards
- Choosing an analytical method to fit the question and data
- Communicating sensitive or unwelcome analytical findings
- Comparing periods consistently
- Constructing clear and honest charts
- Coordinating accountable handoffs between teams
- Designing efficient and reproducible investigations
- Designing implementable change plans
- Diagnosing capability gaps from work evidence and planning development
- 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
- Evaluating learning transfer and performance outcomes
- 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
- Interpreting trends and seasonality
- Investigating anomalies
- Judging whether a change exceeds normal variation
- Making accountable decisions under uncertainty
- Measuring campaign outcomes with valid denominators
- 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
- 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 project progress against accepted outcomes
- Writing evidence-led findings and auditable recommendations with their limits
- 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
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
5tasks in this job
56skills it uses
11tools named
The skills this job leans on most
- 1Maintaining a risk register with owners, triggers and responsesNeeded in 4 of 5 tasks
- 2Planning delivery dependencies and the critical pathNeeded in 4 of 5 tasks
- 3Verifying benefits realisation and attributionNeeded in 2 of 5 tasks
- 4Defining measurable outcomes and leading indicatorsNeeded in 1 of 5 tasks
- 5Assessing change risk, collisions and go or no-goCore to this role
ToolsMicrosoft ProjectMicrosoft SharePointSmartsheetJira AlignServiceNowMicrosoft PowerPoint+ 5 more
All 5 tasks, where people get stuck and all 56 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Prepare a periodic performance or risk report for a management or governance committee
- Track and verify benefits realisation against the business case
- 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
Where people get stuck
All skills
- Defining measurable outcomes and leading indicators
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Verifying benefits realisation and attribution
- Applying research ethics and participant consent
- Assigning and operating data ownership and stewardship
- Building decision-focused reports and dashboards
- Choosing an analytical method to fit the question and data
- Communicating quantified uncertainty
- Communicating sensitive or unwelcome analytical findings
- Comparing periods consistently
- Constructing clear and honest charts
- Coordinating accountable handoffs between teams
- Designing efficient and reproducible investigations
- Designing experiments
- Designing implementable change plans
- Diagnosing capability gaps from work evidence and planning development
- 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 and challenging causal effects
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Evaluating learning transfer and performance outcomes
- Evaluating whether people understood, adopted and sustained a change
- 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
- Interpreting trends and seasonality
- Investigating anomalies
- Judging whether a change exceeds normal variation
- Judging whether uncertainty changes the decision
- Making accountable decisions under uncertainty
- Measuring campaign outcomes with valid denominators
- Presenting and defending evidence-based recommendations to decision-makers
- Reading business metrics
- 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
- Testing investment business cases under uncertainty
- 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 project progress against accepted outcomes
- Weighing conflicting evidence by design strength
- Writing evidence-led findings and auditable recommendations with their limits
- Writing verifiable requirements and acceptance criteria
All tools
- Microsoft Project
- Microsoft SharePoint
- Smartsheet
- Jira Align
- ServiceNow
- Microsoft PowerPoint
- Microsoft Power BI
- Microsoft Excel
- SAP S/4HANA
- Visma ERP and accounting
- Planview
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
5tasks in this job
74skills it uses
9tools named
The skills this job leans on most
- 1Prioritising work by evidenced value, cost, risk and confidenceNeeded in 5 of 5 tasks
- 2Maintaining a risk register with owners, triggers and responsesNeeded in 5 of 5 tasks
- 3Planning delivery dependencies and the critical pathNeeded in 5 of 5 tasks
- 4Verifying benefits realisation and attributionNeeded in 3 of 5 tasks
- 5Defining measurable outcomes and leading indicatorsNeeded in 2 of 5 tasks
ToolsMicrosoft ProjectMicrosoft SharePointJira AlignMicrosoft PowerPointMicrosoft Power BIMicrosoft Excel+ 3 more
All 5 tasks, where people get stuck and all 74 skills
Tasks
- Control project or programme risks, issues, dependencies and change requests
- Prioritise and rebalance an investment portfolio against value, capacity and benefit evidence
- Track and verify benefits realisation against the business case
- 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
Where people get stuck
- Prioritising work by evidenced value, cost, risk and confidence
- Assessing change risk, collisions and go or no-go
All skills
- Defining measurable outcomes and leading indicators
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Prioritising work by evidenced value, cost, risk and confidence
- Verifying benefits realisation and attribution
- Applying research ethics and participant consent
- 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 decision-focused reports and dashboards
- Choosing an analytical method to fit the question and data
- 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
- Designing and comparing decision scenarios
- Designing and versioning data contracts for consumers
- Designing decision-oriented research with customers, users or employees
- Designing efficient and reproducible investigations
- Designing experiments
- Designing implementable change plans
- Diagnosing capability gaps from work evidence and planning development
- 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
- Estimating and challenging causal effects
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Evaluating learning transfer and performance outcomes
- Evaluating product outcomes and metric integrity
- Evaluating whether people understood, adopted and sustained a change
- Explaining technical work to accountable non-specialists
- Forecasting project cost and schedule from progress evidence
- Identifying and quantifying decision downside and exposure
- Interpreting correlation without inferring cause
- Interpreting customer feedback and qualitative evidence
- Interpreting policy scope and delegated authority limits
- Interpreting trends and seasonality
- 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
- Measuring campaign outcomes with valid denominators
- Presenting and defending evidence-based recommendations to decision-makers
- 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
- Selecting charts for evidence and decisions
- Testing competing explanations with discriminating evidence
- Testing investment business cases under uncertainty
- 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 project progress against accepted outcomes
- Weighing conflicting evidence by design strength
- Writing evidence-led findings and auditable recommendations with their limits
- Writing verifiable requirements and acceptance criteria
All tools
- Microsoft Project
- Microsoft SharePoint
- Jira Align
- Microsoft PowerPoint
- Microsoft Power BI
- Microsoft Excel
- Planview
- SAP S/4HANA
- Visma ERP and accounting
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
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
About the role
Accountable for a programme of interdependent projects, its change control and the benefits it realises. Manages the project managers who deliver it, resolves dependency conflicts and decides programme-level changes. Data judgement sits in defining benefit measures and judging whether reported progress is real.
Also called Transformation Manager