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Everpure

Senior Data Engineering Manager - Conversational AI & Finance Control Tower

Department
Engineering
Job Type / Location
Bangalore
Experience Required
15+ years
Posted On

THE ROLE

The Data & Analytics team at Ever Pure is looking for a Senior Manager for designing and building an AI-ready data infrastructure powering conversational AI and chatbot experiences for Finance. This role will lead the end-to-end build, defining the target state, identifying capability gaps, and delivering a phased roadmap with measurable outcomes. A core focus is enabling a conversational, AI-driven Finance experience, allowing stakeholders to access insights through natural language and copilots.

WHAT YOU'LL DO

Finance Control Tower & Data Foundation

  • Lead the design and build of the Finance Control Tower
  • Establish a scalable, AI-ready data platform for reporting, analytics, and AI
  • Deliver unified, trusted views across Finance (revenue, billing, forecasting)

Data Architecture, Semantic Layer & Observability

  • Define data architecture and unified models across systems (Salesforce, SAP, NetSuite, Zuora)
  • Build a semantic / metrics layer to standardize business definitions
  • Implement data management and observability (quality, lineage, reliability)

Conversational AI & AI Enablement

  • Enable natural language access to Finance data via chatbots and copilots
  • Build RAG-based architectures using structured and unstructured data
  • Develop embeddings and semantic context layers for business-aware insights
  • Leverage platforms like Snowflake Cortex (or similar) for search, summarization, and classification

Data Engineering & AI Integration

  • Build and scale data pipelines and AI-ready datasets in Snowflake (or similar)
  • Integrate enterprise data sources (SFDC, NetSuite, Zuora)
  • Enable LLM-driven use cases (forecasting, anomaly detection, variance analysis)
  • Ensure outputs are accurate, explainable, and traceable

WHAT YOU BRING

  • 15+ years in data engineering, analytics, or related roles
  • Experience building modern data platforms / data products at scale
  • Strong expertise in:
    • SQL, data modeling, ETL/ELT
    • Semantic / metrics layer design
    • Data governance, quality, and observability
    • Experience with Snowflake (or similar) and Python
  • Exposure to:
    • Conversational AI / chatbot systems
    • RAG, embeddings, vector search
    • LLM frameworks and prompt design
  • Understanding of Finance data (ARR, MRR, revenue) preferred
  • Strong execution, stakeholder management, and communication skills

View Assessment Process

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