Kiran
Vijay

I transform complex enterprise data into governed, reusable data products that accelerate trusted BI and AI initiatives.

Vice President, Data & BI

Enterprise finance analytics

Chennai, India

View selected work Resume

Experience

10+ years across enterprise data and BI.

Financial services, healthcare and enterprise analytics — leading BI delivery and building the governed datasets finance and operations leaders decide from. The most recent roles are below.

  1. May 2024 — Present

    Vice President — Data & BI

    BNY

    • Lead a team of 5 analysts delivering enterprise Power BI solutions, curated analytical datasets, reporting automation, and AI-enabled analytics across finance and operations.
    • Own the design and delivery of enterprise Power BI solutions for finance analytics, including executive dashboards, variance analysis, self-service reporting, and curated datasets.
    • Build scalable Power BI semantic models with star-schema design, governed DAX measures, calculation groups, RLS, reusable metric definitions, and optimized refresh patterns.
    • Create curated analytical datasets on Snowflake and Vertica to support expense, headcount, and operational reporting across finance leadership use cases.
    • Convert complex stakeholder requirements into structured BI products, covering data model design, KPI logic, report UX, drill-down flows, and performance requirements.
    • Improve report performance and model reliability through DAX optimization, relationship redesign, aggregation logic, query tuning, and refresh strategy improvements.
    • Combine data from Snowflake, Vertica, Impala, Oracle, and Excel inputs into unified reporting models with standardized business rules and governed definitions.
    • Apply AI-assisted analytics using Microsoft Fabric, Power BI Copilot, and internal LLM tools to support natural-language exploration, variance commentary, and insight generation.
    • Built RAG-based GenAI solutions on an internal LLM platform to explain expense variance and headcount movements using structured prompts and business-context retrieval.
    • Automated recurring reporting and data preparation workflows, improving reporting consistency, refresh reliability, and reducing manual effort across finance reporting processes.
    SnowflakePower BIMicrosoft FabricCopilotVerticaImpalaOracleLLM / RAG

  2. Apr 2023 — Apr 2024

    Lead Analyst

    BNY

    • Designed scalable Power BI dashboards using calculation groups for dynamic time intelligence and incremental refresh.
    • Solution architect for data integration and reporting using SQL and Alteryx.
    • Built UiPath automation refreshing reports for 100+ lines of business, cutting processing from hours to minutes.
    • Saved 300+ hours of manual effort annually through automation.
    • Resolved complex data quality and performance issues for business-critical reporting.
    • Received the Brilliance Award for high-impact analytics and automation delivery.
    Power BIAlteryxUiPathSQL

  3. Jul 2021 — Mar 2023

    Senior Data Analyst

    BNY

    • Developed scalable analytics for headcount and deposit classification using Alteryx, cutting manual intervention.
    • SME for deposits and headcount analytics, supporting multiple stakeholder groups.
    • Built paginated Power BI reports for regulatory and operational needs.
    • Created interactive dashboards with advanced DAX for liquidity management and client analytics.
    Power BIAlteryxDAXPaginated Reports
Full timeline

Practice

The craft sits between systems and story.

Governed BI

Reusable datasets, metric definitions, refresh discipline, and reporting that survives scrutiny.

Data flow

SQL, Alteryx, Fabric, and warehouse patterns that make reporting pipelines inspectable and repeatable.

Practical AI

Copilot, agents, RAG, and generated narratives added where they speed up analysis without removing review.

Presentation craft

Visual hierarchy, type, and interaction patterns shaped for leaders who need the answer quickly.

Selected work

Real artifacts, not decoration.

All projects

Method

Calm systems are designed before they are built.

The strongest analytics work feels inevitable because the messy parts have already been made legible.

01

Find the question

Start with the decision, audience, cadence, and owner before choosing a model or visual.

02

Make it defensible

Shape data, definitions, controls, and access so teams can trust the same answer.

03

Remove the manual drag

Automate recurring effort with pipelines, apps, and workflows that people can inspect.

04

Add intelligence carefully

Use AI to explain, draft, and accelerate while keeping judgment and review in the loop.

Next

Bring clarity to the next complex system.

I help teams modernize BI, sharpen executive reporting, and turn automation or AI ideas into practical analytics workflows.

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