Senior Data Engineering Manager - Conversational AI Finance Control Tower
Pure StorageBangalore, India
Full Time
Posted April 16, 2026
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Job Description
A senior management role leading the design and development of an AI-ready data infrastructure for finance, focusing on building scalable data platforms, enabling conversational AI capabilities, and integrating enterprise data sources to support AI-driven insights and decision-making.
Key Responsibilities
- Design and build the Finance Control Tower with a scalable, AI-ready data platform for reporting, analytics, and AI.
- Establish unified, trusted views across Finance revenue, billing, and forecasting data.
- Define data architecture and develop a semantic metrics layer to standardize business definitions.
- Implement data management, observability, quality, lineage, and reliability measures.
- Enable natural language access to Finance data via chatbots and copilots using conversational AI techniques.
- Build and scale data pipelines and AI-ready datasets, integrating enterprise data sources like Salesforce, NetSuite, and Zuora.
- Develop embeddings, semantic context layers, and RAG-based architectures for business insights.
- Leverage platforms such as Snowflake Cortex for search, summarization, and classification tasks.
- Ensure AI outputs are accurate, explainable, and traceable through proper validation and governance.
Requirements
- 15 years in data engineering, analytics, or related roles
- Experience building modern data platforms and data products at scale
- Strong expertise in SQL, data modeling, ETL/ELT processes
- Experience designing and implementing semantic metrics layers
- Knowledge of data governance, data quality, and observability practices
- Experience with Snowflake or similar cloud data platforms
- Proficiency in Python programming
- Exposure to Conversational AI chatbot systems, including RAG, embeddings, vector search, LLM frameworks, and prompt design
- Understanding of Finance data such as ARR, MRR, and revenue
- Ability to lead the design and build of a scalable, AI-ready data platform for reporting, analytics, and AI
- Ability to define data architecture and unified models across systems such as Salesforce, SAP, NetSuite, and Zuora
- Experience building and scaling data pipelines and AI-ready datasets in Snowflake or similar platforms
- Experience integrating enterprise data sources like SFDC, NetSuite, and Zuora
- Experience enabling LLM-driven use cases such as forecasting, anomaly detection, and variance analysis
- Strong execution, stakeholder management, and communication skills
- Willingness to work from the Bangalore office in compliance with company policies
Benefits & Perks
Flexible time off
Wellness resources
Company-sponsored team events
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