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Role Description

The Decision Intelligence Analyst owns decision quality. This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops. It ensures the platform does not merely generate outputs — but generates sound, defensible decisions.

• Evaluating decision outputs for logical integrity and sound reasoning
• Identifying patterns of judgment failure or inconsistency
• Designing structured feedback loops to improve AI reasoning
• Training and refining AI judgment frameworks
• Defining measurable standards for decision quality

Key Responsibilities

• Review system outputs for logical coherence and reasoning rigor
• Assess signal interpretation accuracy
• Identify tradeoff miscalculations or flawed inference pathways
• Document recurring reasoning gaps
• Create structured examples to refine reasoning performance
• Develop edge-case libraries for training robustness
• Formalize evaluation rubrics for decision quality
• Collaborate with R&D to improve reasoning architecture
• Define measurable criteria for decision-grade output
• Track improvements in reasoning consistency
• Monitor drift in output quality over time
• Establish acceptance thresholds for release
• Identify systemic reasoning weaknesses
• Surface blind spots in signal modeling
• Propose structured adjustments to logic layers
• Escalate structural flaws early
• Partner with Product to align quality with roadmap goals
• Collaborate with R&D on advanced reasoning improvements
• Provide structured feedback to Engineering when system behavior deviates

Role Impact

• Higher confidence in decision outputs
• Reduced reasoning inconsistencies
• Improved explainability
• Faster detection of system drift
• Stronger enterprise trust

What This Role Is Not

• This is not general QA
• This is not surface-level data validation
• This is not simple output review
• This role evaluates reasoning quality, not formatting correctness.

Qualifications

• Strong analytical and logical reasoning ability
• Experience evaluating AI systems, decision frameworks, or complex models
• Comfort dissecting multi-step reasoning chains
• Ability to formalize judgment criteria
• Strong written clarity and structured thinking
• Comfort working with ambiguity and edge cases

Cultural Fit

• Obsess over reasoning integrity
• Question outputs rather than accept them
• Care about intellectual rigor
• Prefer structured evaluation over intuition
• Are comfortable holding high standards

How Candidates Are Evaluated

• Their ability to critique and improve structured reasoning
• Clarity of their evaluation frameworks
• Depth of logical analysis
• Ability to identify hidden failure modes
• Their rigor in defining measurable quality standards

Summary

The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine. This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.