Summary
Overview
Work History
Education
Core Competencies
Timeline
Generic

Kannan Radhakrishnan

Edison,USA

Summary

Strategic Finance Technology and Data Leader with 18 years of experience in finance technology transformations for multinational organizations. Demonstrated success in consolidating FP&A and data functions to achieve measurable outcomes and high-impact solutions. Expertise in managing cross-functional teams to align technical and financial objectives, resulting in significant cost savings. Innovator in utilizing Generative AI and LLM-driven solutions for intelligent automation and enhanced financial insights.

Overview

20
20
years of professional experience

Work History

Head of Finance Engineering

BNY
01.2023 - Current
  • Led 100-member engineering team in modernizing data platform, achieving 70% reduction in manual reporting time and 20% increase in data processing efficiency.
  • Drove cloud migration initiatives, resulting in $15 million annual savings through system optimization and vendor contract negotiations.
  • Developed automated data pipelines and ETL processes, enabling near real-time financial reporting and accelerating cycles by 50%.
  • Served as key liaison with CFOs and product teams, aligning finance technology with strategic goals and enhancing data accessibility.
  • Integrated GenAI and LLM solutions like FinChat to improve self-service financial insights and decrease reliance on analysts.
  • Deployed LLM-powered anomaly detection models, identifying financial data outliers and reducing reconciliation time by 30%.

Director – Finance Data Management & Analytics, Ledger & FP&A

BNY
12.2019 - 12.2023
  • Directed a multi-year FP&A transformation, overseeing the migration from PeopleSoft to Oracle ERP Cloud, leading to 40% faster monthly close processes and enhanced financial reporting accuracy.
  • Devised and implemented a data and analytics roadmap, introducing Power BI and custom-built grid solutions that saved $1.5 million annually by decommissioning legacy systems.
  • Delivered $9 million in cost reductions by consolidating data storage on Spark/Hadoop/Snowflake architecture, which reduced data processing times by 70%.
  • Enhanced data accuracy by establishing a robust data governance framework, driving a 35% improvement in reporting reliability and enabling better decision-making across finance teams.

SVP/Group Manager – Finance Data Management & Analytics

BNY
12.2009 - 12.2019
  • Designed the Client Product Profitability (CPP) model, enabling accurate client-level profitability insights that informed pricing decisions, ultimately increasing annual revenue by 10%.
  • Spearheaded the development of a comprehensive data warehouse and data lake strategy, reducing data integration times by 30% and lowering operational costs by $5 million.
  • Oversaw the rollout of OLAP cubes, Power BI dashboards, and self-service reporting tools, which empowered finance users to conduct independent analysis, reducing ad-hoc reporting requests by 60%.
  • Established a unified data governance framework across finance and analytics, resulting in a 25% reduction in data discrepancies and improved data alignment across FP&A, accounting, and audit functions.

Data Architect

GE Corporate Treasury
08.2008 - 12.2009
  • Architected a centralized treasury data hub that integrated 68 financial trading systems, improving data access and consistency, and enabling comprehensive cross-functional treasury analysis.
  • Created a metadata repository and standardized integration across Oracle Financials, SQL Server, and Sybase, streamlining data processing and achieving a 40% reduction in data retrieval time.
  • Improved data quality by implementing data validation and cleansing processes that resulted in a 20% reduction in reconciliation errors for daily treasury reports.

Data Modeler / Data Analyst / Consultant

New Jersey Office of Information Technology (OIT)
03.2007 - 08.2008
  • Developed and standardized data models and business definitions, supporting the state’s fiscal transparency initiatives, which resulted in a 25% improvement in data accuracy across financial reporting.
  • Defined corporate metadata standards and created a unified data dictionary that increased report consistency and cut data redundancy by 35%.

Data Modeler / Data Analyst / Consultant

Wells Fargo Loan Services
11.2006 - 02.2007
  • Designed optimized data structures and created schema models, supporting loan processing and integration with BI reporting, which improved query performance by 30%.
  • Enhanced reporting capabilities through ETL and data modeling solutions, supporting faster and more accurate financial analysis across loan portfolios.

Software Developer and Research Assistant

Sophie Davis School, City College of New York
10.2005 - 10.2006
  • Developed data entry and management applications for research data analysis, enabling a 15% increase in data processing speeds and improving data integrity through automated error checks.

Education

M.S - Computer Science

The City College of New York, CUNY
06.2007

B.E - Computer Science

Annamalai University
05.2004

Core Competencies

  • Finance Technology Transformation: Expertise in leading large-scale finance and technology transformation programs, integrating FP&A and finance functions in complex organizations.
  • GenAI & LLM Applications: Proven success in deploying GenAI tools such as FinChat, automated commentary agents, and agentic AI (digital employees) to improve finance operations, accelerate insight generation, and reduce manual effort.
  • Data Management & Analytics: Proficient in big data analytics, business intelligence, and advanced reporting, utilizing data visualization tools to drive decision-making.
  • Cloud & ERP Strategy: Strong background in developing cloud strategies and executing ERP migrations, specifically from PeopleSoft to Oracle ERP Cloud, enhancing financial reporting accuracy and compliance.
  • Data Architecture & Integration: Skilled in designing data architectures, including data lakes and ETL processes, ensuring seamless integration of financial systems and data sources.
  • Stakeholder Engagement: Proven ability to influence and partner with C-level executives, technical leaders, and cross-functional teams to align technology initiatives with business goals.
  • Project Management Excellence: Experienced in end-to-end project management, from requirements gathering to deployment, ensuring timely and on-budget delivery of strategic initiatives.
  • Financial Modeling & Analysis: Knowledgeable in activity-based costing, dimensional modeling, and OLTP design, facilitating accurate financial forecasting and profitability analysis.
  • Team Leadership & Development: Adept at building and leading high-performing teams, fostering a collaborative environment to drive innovation and achieve organizational objectives.

Timeline

Head of Finance Engineering

BNY
01.2023 - Current

Director – Finance Data Management & Analytics, Ledger & FP&A

BNY
12.2019 - 12.2023

SVP/Group Manager – Finance Data Management & Analytics

BNY
12.2009 - 12.2019

Data Architect

GE Corporate Treasury
08.2008 - 12.2009

Data Modeler / Data Analyst / Consultant

New Jersey Office of Information Technology (OIT)
03.2007 - 08.2008

Data Modeler / Data Analyst / Consultant

Wells Fargo Loan Services
11.2006 - 02.2007

Software Developer and Research Assistant

Sophie Davis School, City College of New York
10.2005 - 10.2006

M.S - Computer Science

The City College of New York, CUNY

B.E - Computer Science

Annamalai University

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