Roles Strategy & Transformation
Strategy Director
Directs the whole strategy Function or several Heads and owns its budget and strategy.
2tasks in this job
33skills it uses
2tools named
The skills this job leans on most
- 1Judging whether external evidence applies to the decision contextNeeded in 2 of 2 tasks
- 2Comparing options against explicit decision criteriaNeeded in 2 of 2 tasks
- 3Reasoning about systems, feedback and second-order effectsNeeded in 2 of 2 tasks
ToolsMicrosoft Power BIMicrosoft PowerPoint
All 2 tasks, where people get stuck and all 33 skills
Tasks
- Evaluate strategic options with market and performance evidence
- Present data, AI, risk and performance evidence to the executive committee or board and record the decisions taken
Where people get stuck
- Judging whether external evidence applies to the decision context
- Reasoning about systems, feedback and second-order effects
All skills
- Comparing options against explicit decision criteria
- Judging whether external evidence applies to the decision context
- Reasoning about systems, feedback and second-order effects
- Appraising options on a common incremental basis against a do-nothing baseline
- Building decision-focused reports and dashboards
- Communicating quantified uncertainty
- Communicating sensitive or unwelcome analytical findings
- Constructing clear and honest charts
- Designing and comparing decision scenarios
- Diagnosing misleading data visualisations
- Disclosing AI contribution to professional work
- Eliciting the decision behind an analytical request
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Explaining technical work to accountable non-specialists
- Facilitating group decisions using disputed evidence
- Identifying and quantifying decision downside and exposure
- Independently checking analytical conclusions and claims
- Interpreting correlation without inferring cause
- Judging whether a change exceeds normal variation
- Making accountable decisions under uncertainty
- Mapping competitor positions from external evidence
- Presenting and defending evidence-based recommendations to decision-makers
- Rating risks against appetite and choosing proportionate treatment
- Reading charts and dashboards correctly, including their state
- Recognising and resolving ethical conflicts in data and AI work
- Recognising misleading numerical claims
- Revising prior decisions when evidence changes
- Running sensitivity and break-even analysis on model assumptions
- Selecting charts for evidence and decisions
- Structuring ambiguous professional problems
- Testing competing explanations with discriminating evidence
- Writing evidence-led findings and auditable recommendations with their limits
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
Strategic and Commercial Decisions: Options, Trade-offs and Priorities
Frame and decide commercial and strategic options, prioritise portfolios under capacity and review decisions afterwards.
- Modules
- 5 open
- Practice data
- Raket Parts
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
3tasks in this job
36skills it uses
4tools named
The skills this job leans on most
- 1Judging whether external evidence applies to the decision contextNeeded in 3 of 3 tasks
- 2Reasoning about systems, feedback and second-order effectsNeeded in 3 of 3 tasks
- 3Comparing options against explicit decision criteriaNeeded in 2 of 3 tasks
ToolsMicrosoft ExcelMicrosoft Power BIMicrosoft PowerPointQlik Sense
All 3 tasks, where people get stuck and all 36 skills
Tasks
- Evaluate strategic options with market and performance evidence
- Size a market and assess the competitive landscape
- Present data, AI, risk and performance evidence to the executive committee or board and record the decisions taken
Where people get stuck
- Judging whether external evidence applies to the decision context
- Reasoning about systems, feedback and second-order effects
All skills
- Comparing options against explicit decision criteria
- Judging whether external evidence applies to the decision context
- Reasoning about systems, feedback and second-order effects
- Appraising options on a common incremental basis against a do-nothing baseline
- Building decision-focused reports and dashboards
- Communicating quantified uncertainty
- Communicating sensitive or unwelcome analytical findings
- Constructing clear and honest charts
- Designing and comparing decision scenarios
- Diagnosing misleading data visualisations
- Disclosing AI contribution to professional work
- Eliciting the decision behind an analytical request
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Explaining technical work to accountable non-specialists
- Facilitating group decisions using disputed evidence
- Identifying and quantifying decision downside and exposure
- Independently checking analytical conclusions and claims
- Interpreting correlation without inferring cause
- Judging whether a change exceeds normal variation
- Judging whether uncertainty changes the decision
- Making accountable decisions under uncertainty
- Mapping competitor positions from external evidence
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Rating risks against appetite and choosing proportionate treatment
- Reading charts and dashboards correctly, including their state
- Recognising and resolving ethical conflicts in data and AI work
- Recognising misleading numerical claims
- Revising prior decisions when evidence changes
- Running sensitivity and break-even analysis on model assumptions
- Selecting charts for evidence and decisions
- Structuring ambiguous professional problems
- Testing competing explanations with discriminating evidence
- Testing investment business cases under uncertainty
- Writing evidence-led findings and auditable recommendations with their limits
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
Strategic and Commercial Decisions: Options, Trade-offs and Priorities
Frame and decide commercial and strategic options, prioritise portfolios under capacity and review decisions afterwards.
- Modules
- 5 open
- Practice data
- Raket Parts
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
4tasks in this job
52skills it uses
5tools named
The skills this job leans on most
- 1Judging whether external evidence applies to the decision contextNeeded in 4 of 4 tasks
- 2Reasoning about systems, feedback and second-order effectsNeeded in 4 of 4 tasks
- 3Comparing options against explicit decision criteriaNeeded in 3 of 4 tasks
ToolsMicrosoft Power BIMicrosoft PowerPointMicrosoft SharePointMicrosoft ExcelQlik Sense
All 4 tasks, where people get stuck and all 52 skills
Tasks
- Evaluate strategic options with market and performance evidence
- Build a defensible business case
- Size a market and assess the competitive landscape
- Present data, AI, risk and performance evidence to the executive committee or board and record the decisions taken
Where people get stuck
- Judging whether external evidence applies to the decision context
- Reasoning about systems, feedback and second-order effects
All skills
- Comparing options against explicit decision criteria
- Judging whether external evidence applies to the decision context
- Reasoning about systems, feedback and second-order effects
- Analysing business drivers and contributions
- Analysing costs, allocation and margin drivers
- Appraising options on a common incremental basis against a do-nothing baseline
- Building decision-focused reports and dashboards
- Building driver-based financial forecasts
- Communicating quantified uncertainty
- Communicating sensitive or unwelcome analytical findings
- Comparing periods consistently
- Constructing a controlled cash-flow plan
- Constructing clear and honest charts
- Defining measurable outcomes and leading indicators
- Designing and comparing decision scenarios
- Designing auditable decision models
- Diagnosing misleading data visualisations
- Disclosing AI contribution to professional work
- Eliciting the decision behind an analytical request
- Estimating quantities and differences with intervals
- Evaluating and improving chart accessibility
- Explaining how business events flow into accounting records
- Explaining technical work to accountable non-specialists
- Facilitating group decisions using disputed evidence
- Forecasting business trends and turning points for planning
- Identifying and quantifying decision downside and exposure
- Independently checking analytical conclusions and claims
- Interpreting averages, weighted measures and mix effects
- Interpreting budgets and planning assumptions
- Interpreting correlation without inferring cause
- Interpreting trends and seasonality
- Interpreting workforce metrics and populations
- Judging whether a change exceeds normal variation
- Judging whether uncertainty changes the decision
- Making accountable decisions under uncertainty
- Mapping competitor positions from external evidence
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Rating risks against appetite and choosing proportionate treatment
- 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
- Revising prior decisions when evidence changes
- Running sensitivity and break-even analysis on model assumptions
- Selecting charts for evidence and decisions
- Structuring ambiguous professional problems
- Testing competing explanations with discriminating evidence
- Testing investment business cases under uncertainty
- Variance analysis
- Verifying benefits realisation and attribution
- Writing evidence-led findings and auditable recommendations with their limits
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
Strategic and Commercial Decisions: Options, Trade-offs and Priorities
Frame and decide commercial and strategic options, prioritise portfolios under capacity and review decisions afterwards.
- Modules
- 5 open
- Practice data
- Raket Parts
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
About the role
Directs the whole strategy Function or several Heads and owns its budget and strategy. Sets the Function's agenda and resources across the enterprise and answers to the executive for the quality of strategic advice. Decides how data and AI inform the options the enterprise considers.
Also called VP Strategy