Explore Tasks
Prioritise and rebalance an investment portfolio against value, capacity and benefit evidence
A Head or executive committee receives a ranked, sequenced portfolio with benefit measures and stop or continue recommendations at each review, prepared by an Analytics Manager, Strategy Manager or PMO Manager and owned by the sponsoring Head.
2jobs do it
36jobs help with it
52skills it needs
- Analytics Manager
- PMO Manager
- Data Architect
- Head of Data & Analytics
- Head of Data Architecture
- Director of Data & Analytics
- Chief Data & AI Officer
- Head of Engineering
- Engineering Director
- Chief Technology Officer
- Finance Business Partnering Manager
- Finance Director
- Procurement Director
- Chief Financial Officer
- Chief Procurement Officer
- Learning & Development Lead
- Learning & Development Manager
- Head of Marketing
- Group Product Manager
- Group Data Product Manager
- Head of Product
- Product Director
- Chief Product Officer
- Chief Revenue Officer
- Head of Operations
- Operations Director
- Chief Operating Officer
- Strategy Lead
- Programme Manager
- Strategy Manager
- Head of Transformation
- Head of PMO
- Head of Strategy
- Transformation Director
- Chief Transformation Officer
- Chief Strategy Officer
- Head of Marketing Operations
- Continuous Improvement Manager
Does itHelps with it
- Reading and tracing unfamiliar code
- Reviewing human- and AI-generated code changes for correctness and risk
- Sampling and reviewing a team's work against standards
- Diagnosing misleading data visualisations
- Verifying reports and dashboards before and after release
- Verifying AI-assisted outputs against sources
- Disclosing AI contribution to professional work
- Testing competing explanations with discriminating evidence
- Independently checking analytical conclusions and claims
- Escalating unresolved risks with evidence and clear ownership
- Giving specific developmental feedback on data and AI work
- Judging the materiality of defects and deficiencies for the intended use
- Tracing data lineage upstream and downstream
- Designing experiments
- Communicating quantified uncertainty
- Designing and versioning data contracts for consumers
- Designing decision-oriented research with customers, users or employees
- Interpreting customer feedback and qualitative evidence
- Defining measurable outcomes and leading indicators
- Prioritising work by evidenced value, cost, risk and confidence
- Evaluating product outcomes and metric integrity
- Diagnosing operational handoffs and flow
- Making accountable decisions under uncertainty
- Revising prior decisions when evidence changes
- Mapping stakeholders' decisions, constraints and needs
- Building cohort and retention analyses with correct denominators
- Designing and comparing decision scenarios
- Writing evidence-led findings and auditable recommendations with their limits
- Presenting and defending evidence-based recommendations to decision-makers
- Testing investment business cases under uncertainty
- Identifying and quantifying decision downside and exposure
- Eliciting the decision behind an analytical request
- Judging whether external evidence applies to the decision context
- Comparing options against explicit decision criteria
- Reasoning about systems, feedback and second-order effects
- Appraising options on a common incremental basis against a do-nothing baseline
- Estimating quantities and differences with intervals
- Reading business metrics
- Comparing periods consistently
- Judging whether a change exceeds normal variation
- Variance analysis
- Estimating and challenging causal effects
- Testing, implementing and sustaining measured improvements
- Verifying benefits realisation and attribution
- Facilitating group decisions using disputed evidence
- Rating risks against appetite and choosing proportionate treatment
- Recognising and resolving ethical conflicts in data and AI work
- Assessing data source credibility and fitness for a question
- Maintaining a risk register with owners, triggers and responses
- Planning delivery dependencies and the critical path
- Verifying project progress against accepted outcomes
- Interpreting policy scope and delegated authority limits
Paths that teach the skills it needs
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
Coming soonDelivering Data and AI Projects with EvidenceProduct and Digital Behaviour Analytics