Shape conversational analytics and AI-enabled decision support using LLMs and governed enterprise data as a Senior Conversational Analytics Engineer.You will develop AI assistants and agentic workflows that retrieve context, query analytical data, interpret results, and communicate understandable responses. The work includes semantic models, retrieval patterns, secure integrations, and human controls. You will collaborate across platform, data, architecture, and governance teams.Key Responsibilities:

Build natural-language experiences for authorized enterprise data usersDevelop assistants that retrieve context and interpret analytical resultsImplement retrieval-augmented generation, tool calling, and semantic retrievalGround responses in business definitions, metrics,



and metadataApply human review controls for high-impact recommendations and actionsRequirements:

Typically five or more years of related experience with a Bachelor's degreeStrong Python, SQL, software engineering, APIs, and testing skillsKnowledge of LLMs, AI agents, embeddings, vector search, and RAGExperience with semantic models, warehouses, lakehouses, APIs, and BIUnderstanding of governed access, lineage, data quality, and metadataBring conversational AI, semantic modeling, and secure integration expertise to enterprise decision support.

📌 Senior Conversational Analytics Engineer (Winnipeg)
🏢 Dayforce
📍 Winnipeg