Vice President, Data Engineering
Sep 2026 — PresentBNY · Chennai
Building an AI-enabled analytics layer that lets business users ask questions and create dashboards in plain language.
- Build curated, AI-ready datasets with documented business context and governed metric definitions, so LLM-generated answers match certified reporting.
- Design the AI-enabled reporting layer: a semantic layer that maps business terms to approved metrics, dimensions and joins, giving agents a safe, consistent surface to query instead of raw tables.
- Engineer prompt-based dashboard creation: users describe a view in natural language; the system resolves intent to governed metrics, generates the query and visual spec, and renders an editable dashboard.
- Develop a data agent that plans multi-step analyses, generates and validates SQL against the semantic layer, and explains how each answer was derived.
- Implement guardrails and evaluation: test sets of real business questions, accuracy tracking, role-based data access, and clarifying questions when intent is ambiguous.
