Senior Data Engineering Manager - Conversational AI & Finance Control Tower

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

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

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

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

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WHAT YOU CAN EXPECT FROM US:

Innovation: We celebrate those who