- 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 operationalization.

Qualifications :

- 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.