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

About Pure Storage

Pure Storage (NYSE: PSTG) uncomplicates data storage, forever. Pure delivers a cloud experience that empowers every organization to get the most from their data while reducing the complexity and expense of managing the infrastructure behind it. Pure’s commitment to providing true storage as-a-service gives customers the agility to meet changing data needs at speed and scale, whether they are deploying traditional workloads, modern applications, containers, or more. Pure believes it can make a significant impact in reducing data center emissions worldwide through its environmental sustainability efforts, including designing products and solutions that enable customers to reduce their carbon and energy footprint. And with a certified customer satisfaction score in the top one percent of B2B companies, Pure's ever-expanding list of customers are among the happiest in the world.