Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.).
Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities.
Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally.
RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights.
External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights.
Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards.
Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and :
6-9 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based
solutions.
Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling.
Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate).
Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus.
Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration.
Familiarity with web scraping and structuring external/third-party datasets.
Prior experience in CPG domain or large-scale KPI dashboarding preferred.
