Live opening · Posted 27 days ago
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The Data and Analytics team 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.
The core responsibilities for the job include the following:
Finance Control Tower and 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 and Observability:
Define data architecture and unified models across systems (Salesforce, SAP, NetSuite, Zuora).
Build a semantic / metrics layer to standardise business definitions.
Implement data management and observability (quality, lineage, reliability).
Conversational AI and 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, summarisation, and classification.
Data Engineering and 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.
Requirements:
15+ years in data engineering, analytics, or related roles.
Experience building modern data platforms / data products at scale.
Strong expertise in SQL, data modelling, 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.
Experience
12-16 yrs
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