Kannan Radhakrishnan
Edison,USA
Summary
Strategic Finance Technology & Data Leader with over 18 years of experience driving end-to-end finance technology transformations for large-scale, multinational organizations. Proven track record in consolidating FP&A and data functions to deliver high-impact solutions and measurable outcomes. Expert in managing cross- functional teams and aligning technical and financial goals to optimize processes and generate substantial cost savings. Skilled in engaging executive stakeholders, leveraging business intelligence platforms, and enabling agile data and cloud strategies that boost operational efficiency, accessibility, and reporting speed.
Overview
19
19
years of professional experience
Work History
Head of Finance Engineering
BNY
01.2023 - Current
- Led a 100-member engineering team responsible for data platform modernization across FP&A and finance functions, achieving a 70% reduction in manual reporting time and a 20% increase in data processing efficiency
- Drove cloud migration initiatives that contributed to $15 million in annual infrastructure savings through system optimization and cost-efficient vendor contract negotiations
- Enabled near real-time financial reporting capabilities by developing automated data pipelines and ETL processes, which accelerated reporting cycles by 50%
- Acted as a key liaison with CFOs and product teams, aligning finance technology with strategic goals, reducing departmental silos, and enhancing overall data accessibility and accuracy
Director - Finance Data Management & Analytics
Ledger & FP&A
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
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 Bl 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
India05.2004
Core Competencies
- Finance Technology Transformation: Expertise in leading large-scale finance and technology transformation programs, integrating FP&A and finance functions in complex organizations.
- 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
12.2019 - 12.2023
SVP/Group Manager - Finance Data Management & Analytics
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