• Designing and refining decision frameworks that guide how Sena interprets customer intent • Defining signal mapping logic that structures how business questions are decomposed into actionable signals • Establishing configuration schemas that specify how data must be captured to support decision-grade outputs • Creating evaluation criteria and quality standards used to assess system outputs • Identifying recurring patterns, edge cases, and failure modes, and formalizing them into reusable system logic • Producing structured artifacts that directly inform Product and AI development workflows • Collaborating closely with Product, AI, and Engineering teams to ensure decision logic is encoded effectively into Sena