ATS Global

4 days ago

Bengaluru, Karnataka, India ATS Global Techsoft Pvt Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Designation :
BI Architect - Gen AI

Key Responsibilities

  • 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.

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