Kiran Vijay

AI Analytics Engineer · Data Engineering & AI-Native Analytics Products

Data engineer and analytics leader with 11 years of experience, now building AI-native analytics products: data agents, prompt-driven dashboards, and the governed data layers that make their answers trustworthy.

Spent a decade designing semantic models, curated datasets and self-service reporting for 1,000+ finance and operations users in regulated environments. Now applies that foundation to LLM systems, so natural-language questions resolve to the same numbers as certified reports. Has led teams of up to 7 and owned product roadmaps with CFOs and technology partners.

Kiran Vijay

See my work in action

Three things you can try in under a minute at kiran-vijay.com

  1. 1Run Scout, my AI data analyst: ask a question in plain English and see where it looked.kiran-vijay.com/analytics-harness →
  2. 2Interview my AI about my experience: it answers from my real work history, with sources.kiran-vijay.com/?ask →
  3. 3Read the case study: how I built a governed data agent at BNY.kiran-vijay.com/work/bny-data-agent →

Experience

Vice President, Data Engineering

Sep 2026 — Present

BNY · 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.

Vice President, Data and Analytics

May 2024 — Aug 2026

BNY · Chennai

Owned AI-enabled data and analytics products for FP&A and Controllers, serving 1,000+ users across reporting, close, planning and performance management.

  • Built AI-assisted analytics with internal LLM/RAG tools, Power BI Copilot and Fabric Copilot to generate variance commentary, enable natural-language exploration and summarize insights for executives, including RAG solutions that explain expense variance and headcount movements.
  • Created governed data products by integrating Oracle ERP, the Neo finance platform, Salesforce CRM and IBM Planning Analytics into curated datasets.
  • Led pipelines and data products that improved business-day-2 close readiness with consistent views of books, drivers, exceptions and required actions.
  • Translated CFO and finance leadership needs into product roadmaps, features and reusable data assets, partnering with product and technology teams.
  • Automated recurring reporting and data preparation, saving 1,460+ hours a year and improving consistency and refresh reliability.
  • Led a team of 7 analysts; coached them on semantic modeling, dataset design, performance and practical AI adoption.

Lead Data Analyst

Apr 2023 — Apr 2024

BNY · Chennai

  • Led BI modernization across finance reporting with a team of 4, improving standardization, auditability and delivery reliability.
  • Delivered automation across 100+ lines of business, cutting report refresh cycles from hours to minutes and saving 300+ hours a year.
  • Acted as solution lead for data integration and automation: requirements, testing, release readiness and sign-off.
  • Resolved critical data quality and performance issues in business-critical reporting under tight timelines.

Senior Data Analyst

Jul 2021 — Mar 2023

BNY · Chennai

  • Owned analytics for headcount and deposit classification, delivering controlled insights to finance and operations.
  • Redesigned high-volume data preparation flows to reduce manual intervention and improve reliability.
  • Delivered regulatory and operational reporting with clear metric definitions and controlled outputs.

Deputy Manager

Nov 2020 — Jul 2021

Philips GBS

  • Managed performance and capacity of the enterprise BI platform, improving reliability across published reports.
  • Analyzed server usage to find optimization opportunities, supporting 25% cost savings.
  • Automated data collection and validation with Power Platform, speeding reporting turnaround.

Assistant BI Manager

Jun 2018 — Nov 2020

Philips GBS

  • Delivered inventory and project-tracking analytics for supply chain and operations.
  • Defined consistent KPIs and reusable reporting assets that improved decision support.

Deputy Manager

Sep 2015 — May 2018

Encore IT Solution

  • Migrated legacy healthcare reporting to Power BI, improving access to insights and consistency.
  • Built and maintained SSIS ETL pipelines that improved data availability for operational reporting.

Selected Projects

ScoutTry it live → kiran-vijay.com/analytics-harness

An AI data analyst running on a custom analytics agent harness I built from scratch (on-demand skill loading, query validation, cited answers). Ask a question in plain English; Scout finds the answer and shows where it looked.

Education

PG Diploma, FinTech

2023

Indian Institute of Management (IIM) Nagpur

B.Tech, Information Technology

2011 — 2015

Jeppiaar Engineering College, Anna University

Achievements

  • Brilliance Award, BNYHigh-impact analytics and automation
  • Passion for Excellence, BNYAnalytics support during the Oracle Cloud migration
  • Take Ownership to Deliver Fast, PhilipsEnd-to-end SRC dashboard delivery
  • Customers First, PhilipsTimely delivery of key operations dashboards