Ravisankar Varadarajan

Experience

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  Mastech

  Aug 1998 - May 1999

  Software Engineer for Eastern Electricity, UK

  * Software Consulting & Development

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  IGATE

  Jun 1999 - Apr 2002

  Technical Lead, Enterprise Applications for UPMC, Agilent Technologies, First Principal
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  IGATE

  Apr 2003 - Jul 2009

  • Guide clients in aligning their technology strategies with business goals, delivering innovative technology solutions that drive efficiency, growth, and competitive advantage. A proven track record in transforming complex business challenges into actionable technology strategies. • Provide Technology Assessment Analysis, Solution Design and Architecture, Project Management and Implementation Oversight, Stakeholder Engagement and Communication, Risk Management and Compliance, Innovation and Continues improvementMajor Clients: General Electricals, Agilent Technologies, Union Bank of California, Universal Studios, University of Pittsburg Medical Center, First Principal (Singapore), Eastern Electricity – UK Show less

  • Manager, Enterprise Applications for GE, NBC Universal

    Apr 2005 - Jul 2009

  • Project Manager, Enterprise Applications

    Apr 2003 - Mar 2005
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  Globus Medical

  Jul 2009 - Aug 2010

  Head of Data, Business Intelligence platforms and products

  Head of Data, Business Intelligence platforms and products• Develop and execute a comprehensive data / business intelligence strategy, including defining and owning enterprise data architecture, data modeling, data integration and data, business intelligence engineering• Build & manage Data warehouse / Business Intelligence platforms for strategic, tactical, and operational reporting and decision-making• Design and develop data products in the areas of device discovery, clinical development, clinical trials, operations, marketing, sales and financials• Comply with the high standards and regulations of clinical, laboratory, and manufacturing (GCP/GCL/GMP) practices Show less

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  Union Bank

  Sept 2010 - Dec 2014

  Vice President - Credit Risk Application, Data and Analytics portfolio

  Manage Enterprise Credit Risk Analytics systems that includes financially critical Integrated Credit Business Intelligence and Reporting system (ICRS), Moody’s Risk Analyst, IBM Algorithmics and Loan Loss Migration Model applications.• Architect, design and build adaptive, scalable Data Mart, Business Intelligence systems• Develop the strategies to transform the business intelligence platform to advanced analytical platforms by including analytics (statistical, quantitative analysis, business performance), data mining, dashboards, automated data integrity, random searching capability• Manage Programs, Budget, People and Customer relationships.• Build and maintain relationships with internal customers, IT partners and vendors • Develop high performing teamsAccomplishments:• Developed Analytics products for credit risk, Basel III- Risk-Weighted assets and economic capital• Built Enterprise Credit Data / Business Intelligence platform through a set of methodologies, processes, architectures, and technologies that transform raw credit data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making.• Developed Loan Loss Migration Model application to analyze historical credit data to recommend reserve factors through analytical models.• Rolled out Enterprise Data Quality platform with EDQ rules with dashboards / reports to ensure accuracy, integrity, completeness Show less

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  MUFG

  Jan 2015 - Nov 2023

  Director - Product Design & Engineering (Data, Analytics, ML, AI)

  Heading a Credit Risk Technology organization with a clear vision, mission, strategy, values to meet the organization objectives through innovative products and solutions. • Work with senior business leaders to develop and execute data, analytics, machine learning and artificial intelligence strategies to unlock new growth, enhance the customer experience, drive innovation, manage risks, enable competitive advantage, and meet regulatory & compliance requirements• Develop and manage a portfolio of software applications to empower and enable the businesses to perform their functions effectively and efficiently, make decisions, streamline, automate and scale the business processes• Build and manage data, analytics, ML/AI platforms and capabilities with agile methodology and DevOps practice in place• Develop a portfolio of data products for credit approvals, risk analytics, operational, regulatory, management reporting, process optimization, risk assessment & monitoring, and capital allocations• Ensure regulatory, risk management, and compliance• Implement data management disciplines, data governance procedures by partnering with Chief Data office. • Maintaining the relationships with business partners, enterprise technology executives, data office, program management office and operational teams for collaboration, enterprise alignment and execution• Managing a geographically distributed team of engineering /product managers, software / data engineers, data / business analysts, machine learning engineers - 20+ employees and 50+ vendor resources Show less