Explore Tasks
Evaluate and recommend a data, analytics or AI product or vendor
A buyer receives a due-diligence evaluation (fit, security, data protection, AI risk, cost, lock-in, exit) and a recommendation feeding procurement.
2jobs do it
11jobs help with it
36skills it needs
- Data Architect
- Cloud & Infrastructure Engineer
- AI Engineer
- Lead Data Engineer
- Head of Data & Analytics
- Head of Data Architecture
- Head of Engineering
- Engineering Director
- Marketing Operations Lead
- Marketing Operations Manager
- Head of Insight
- Head of Marketing Operations
- Head of Revenue Operations
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
- Designing and comparing decision scenarios
- Writing evidence-led findings and auditable recommendations with their limits
- Communicating quantified uncertainty
- Presenting and defending evidence-based recommendations to decision-makers
- Testing investment business cases under uncertainty
- Identifying and quantifying decision downside and exposure
- Prioritising work by evidenced value, cost, risk and confidence
- Eliciting the decision behind an analytical request
- Judging whether external evidence applies to the decision context
- Comparing options against explicit decision criteria
- Making accountable decisions under uncertainty
- Reasoning about systems, feedback and second-order effects
- Appraising options on a common incremental basis against a do-nothing baseline
- Assessing data-service continuity and recoverability
- Classifying AI uses against regulatory obligations
- Evaluating responsible AI use risks
- Assessing privacy risk through data protection impact assessments
- Evaluating supplier total cost and value
- Investigating procurement spend leakage and duplicate commitments
- Writing verifiable requirements and acceptance criteria
- Interpreting supplier contract duties, terms and exposure
- Assessing supplier dependency, data-handling and exit risk
- Rating risks against appetite and choosing proportionate treatment
- 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
Procurement, Spend and Supplier Analytics
Analyse spend, contract exposure and supplier value.
- 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
Coming soonFinancial Modelling and Decision Support