About the job
Location: Bangalore, India
Role Overview
Pine Storage’s Data & Analytics team is looking for a Senior Data Engineering Manager to lead the development of an AI-ready data infrastructure supporting conversational AI and chatbot experiences for Finance. This position covers the full project lifecycle: from defining the vision and identifying capability gaps to delivering a phased roadmap with clear, measurable results. The main goal is to create an AI-driven Finance experience where stakeholders can access insights using natural language and copilots.
Key Responsibilities
Finance Control Tower & Data Foundation
- Design and implement the Finance Control Tower.
- Build a scalable, AI-ready data platform for reporting, analytics, and AI integration.
- Deliver unified and reliable views across Finance, including revenue, billing, and forecasting.
Data Architecture, Semantic Layer & Observability
- Define data architecture and unified models across systems such as Salesforce, SAP, NetSuite, and Zuora.
- Develop a semantic or metrics layer to standardize business definitions.
- Implement data management and observability practices with a focus on quality, lineage, and reliability.
Conversational AI & AI Enablement
- Enable natural language access to Finance data through chatbots and copilots.
- Design RAG-based architectures using both structured and unstructured data.
- Create embeddings and semantic context layers for business-aware insights.
- Apply platforms like Snowflake Cortex for improved search, summarization, and classification.
Data Engineering & AI Integration
- Build and scale data pipelines and AI-ready datasets within Snowflake or similar environments.
- Integrate enterprise data sources, including SFDC, NetSuite, and Zuora.
- Support LLM-driven use cases such as forecasting, anomaly detection, and variance analysis.
- Ensure results are accurate, explainable, and traceable.
