Profile summary

• Over 25 years of progressive Information Technology career with executive level expertise in leading large scale Information Management IM projects of enterprise data management solutions, data strategy and governance, enterprise technology and information architecture to help reduce data integration cost, improving data quality and accelerating access to right information for better decision making, analysis and reporting.
• Strong leader and practitioner of valuing business data as an enterprise asset to be supported as a business function with well-defined Information Management objectives and strategies. Years of executive experience in leading and managing IT data solutions including data quality, data integration, data warehousing, business intelligence, advanced data analytics application systems, and enterprise content management ECM solutions that are strategically aligned with business objectives and goals.
• Over five years of in-depth experience in supervising and guiding planning and implementation of Big Data projects including Big Data solution roadmap, identification of Big Data use cases, execution of Big Data proof of concepts and pilot projects to support financial risk analysis and management, research and analytics.
• Several years of IT team management experience in Fortune 500 corporations and large government agencies to supervise and support financial budgeting and forecasting, IT risks, strategic planning and roadmaps, professional resource management, mentoring and coaching, and full life cycle IT service delivery employing agile and waterfall methodologies. Recognized as a data management expert by Massachusetts Institute of Technology MIT on holistic data management framework. Successful completion and implementation of learnings from notable executive leadership programs such as University of Michigan's Management of Managers and SportsMind Leadership programs.

Notable achievments

• Reduced data integration cost, improved data quality and enhanced timely access to information for better decision making, analysis and reporting. Led development, branding, and adoption of organization-wide Enterprise Information Management strategy, Enterprise Information Architecture and data solution framework for the Federal Reserve System.
• Improved organization's capability to perform financial risk analysis, risk evaluation and management, research and statistical modeling by leading and guiding design and implementation of large scale Big Data solutions with cutting edge Big Data technologies such as Pivotal Greenplum and Pivotal Hadoop. Provided technical oversight and support in execution of several pilots and proof-of-concept projects leveraging new Big Data vendors and technologies such as Cloudera, Hortonworks, and MongoDB to evaluate the Big Data technologies against strategic and tactical business use cases.
• Improved compliance of the Fortune 500 firm's financial products with company's internal policy and regulations when publishing the products to geographically distributed financial branches on an intranet website. Led a large IT team to implement an enterprise wide Enterprise Content Management ECM solution to support document, records, and work flow management, and web content publishing, archiving and retention.
• Supported an enterprise level initiative to establish enterprise data strategy, information architecture and technology standards and for a fortune 500 company.
• Strengthened and improved a Fortune 500 company's brand, on-line presence, and cross-selling opportunity by implementing highly scalable, user-friendly, Java/J2EE, and Oracle based multi-million dollars financial web application to support 30 million customers online with 4 million hits per day.
• Reduced cost overhead and time needed to deliver patients' transcribed medical records to the healthcare facility. Led architecture and development of a highly scalable healthcare software product to support patient information management needs.
• Invited as a data management expert by Massachusetts Institute of Technology MIT to speak about holistic data management framework at the MIT Information Quality Symposium.

professional experience

Confidential

EIM Leader, Senior Enterprise Architect Information Architecture, Enterprise Data Strategy and Data IT Solutions

• Significant achievement in reducing cost of data integration effort, improving data quality and providing quicker access to information for better decision making, analysis and reporting. Strategic IT direction and oversight to support financial risk analysis, risk management, financial data analytics, and research business functions through enterprise level Big Data technology solution implementation.
• Led and supported the Federal Reserve's Enterprise Information Management initiatives sponsored by Enterprise Architecture Standards of the Federal Reserve Information Technology. Responsible for development and promotion of enterprise level information management strategy, data solution best practices and guidance, and technology standards. Led or supported numerous organization-wide data initiatives including data warehousing systems, Big Data solutions assessment, Big Data use cases and implementation roadmap, and Business Intelligence solution selection and implementations.
• Aligned the Federal Reserve's enterprise data strategy with business customers' strategic data needs by developing, branding, and promoting adoption of a new Enterprise Information Management Framework solution.
• Raised awareness of information management challenges, issues with redundant technologies and tools, and inadequate data solutions across multiple business lines.
• Led or supported several large scale data management solutions including Big Data analytics platform supporting over 100 Terabytes of data, Business intelligence and reporting solutions, In-memory data warehousing and analytics projects, and near real-time data integration application systems.
• Led or contributed in several strategic enterprise level data solution initiatives of the Federal Reserve related to data governance, integration, business intelligence and analytics, data warehousing, big data solutions, and data quality.
• Guided integration of XBRL based data exchanges with external financial agencies. Helped execute RFP and proof of concept to deploy and use Fujitsu Interstage XWand product with a powerful software development kit SDK to efficiently and cost-effectively support all stages of XBRL implementations including creation, validation, and analysis of XBRL documents.
• Strategic partner and contributor to develop and deploy Enterprise Content Management Solution as an enterprise level IT service to support document management, records management, archiving and retention, and eDiscovery capabilities.
• Led development of technology standards related to Information Management IT domain.

Details on supporting Big Data Analytics Solution Systems development and operation:

Role and Responsibilities:

• Evaluated Big Data vendors and technologies features to support Risk Analysis and Management, Data Analytics and Research capabilities through RFPs, proof-of-concepts, and pilot projects such as Greenplum Pivotal , Hadoop, Cloudera, Hortonworks, and MongoDB to evaluate the Big Data technologies against strategic and tactical business use cases.
• Through proof-of-concepts and vendor demonstration, evaluated and compared NoSQL non-relational databases of different types such Apache Cassandra and HBase of columnar data stores and MongoDB and XML databases of document data stores type.
• Led and guided a large scale Big Data solution leveraging Pivotal Greenplum integrated architecture with Greenplum DCA.
• Supported design and implementation of Greenplum Massively Parallel Process MPP data warehouse system with Greenplum Database, and Greenplum Hadoop Pivotal HD .
• Supervised planning and deployment of required Big Data computing infrastructure
• Consulted in development of system upgrades and migrations, acceptance testing, and maintenance strategy through architectural advice and oversight.
• Guided and supported technical activities such as table maintenance, workload management, data loading and storage methods, distribution and partitioning, encoding, SQL explain plan, Greenplum SQL query tuning, and backup procedures. Guidance and support to management of Data Warehouse requirements and data quality controls.

Big Data System Capability Overview

• The Big Data Solution system provides Risk Analysis and Management, Data Analytics and Research capabilities with access to 100 Terabytes and growing of broad array of U.S. consumer credit data, including credit cards, auto loans, student loans, and mortgages. RADAR's comprehensive Big Data analytics architecture leverages Pivotal Greenplum Database and Pivotal Hadoop allows users to generate and view data by loan status, geography, demographics, or time periods. The system also provides varied customization of the views of data, including the ability to develop maps or charts for fast and meaningful analysis. The system provides ability to dig deeper into the data allowing researchers to easily spot patterns or trends, and providing a better understanding of a community's or a region's credit health.
• RADAR also provides security evaluation capability by integrating the information contained in the RADAR Greenplum database with risk models and securities evaluation software. In addition, the security evaluation capability allows examiners access to modeling tools to create benchmarks against which to compare banks' own valuations of the securities they hold in their portfolios. This way, examiners can help bank management refine their securities valuation process to better estimate credit risk and accurately reflect financials.

Big Data System Technology Architecture Overview

• The RADAR system using Greenplum 3.0 was initially deployed in late 2008 as a test pilot system to address performance issue of SQL Server database with growing data volume. With positive outcome, the Greenplum system was rolled out to larger user base across the organization and plans were made to scale up the system to store additional credit data for analytical and research purpose.
• Overtime, with escalating users' needs, the RADAR big data architecture has evolved to provide an integrated analytics environment for both structure and unstructured data. At present RADAR's data warehousing component is built using Greenplum Database 4.2, a shared-nothing Massively Parallel Processing MPP architecture, leveraging open source PostgreSQL database. To ease burden of inactive data in the Greenplum MPP database, the RADAR system uses Pivotal HD product to offload the inactive data from Greenplum database for ad-hoc user queries, archiving and retention purposes. The Pivotal HD product, a supported Hadoop Distributed File System HDFS with HBase, ZooKeeper, Hive, and Pig tools is also to manage unstructured data storage.
• A critical product, Greenplum Data Computing Appliance DCA was deployed to incorporate extensibility in the architecture. Greenplum DCA integrates Greenplum database, Pivotal HD, Data Loading ETL and third party business intelligence platforms and provide extensibility for future needs such as additional storage management.
• With Greenplum Database 4.2 upgrade, the Greenplum PerfMon console was replaced with new web-based Greenplum Command Center with new features for Greenplum administrators such as the ability to start, stop and initialize databases on the fly, recover and rebalance database mirrors, and search, prioritize, or cancel a query.

Confidential

Asst. Vice President Enterprise Content Management and Publishing

• Supported an enterprise level initiative to assess information needs of business areas, develop reference contextual and conceptual data strategies and information architecture. Guide design of a comprehensive logical data strategy and roadmap to implement target information architecture.
• Led requirement analysis, design, development, and delivery of a web-based Enterprise Content Management solution to support intranet delivery of content about company's financial products, services, operations, administrations, and human resources to financial associates located at the branch and users in the compliance department. The system provides a formal content approval and workflow process, publishing mechanism, retention, archiving, and purging mechanism of key web contents.
• Company-wide collaboration and management of an enterprise level data quality program to improve quality of inbound, outbound and stored brokerage data. The program provided guidelines and methods to improve data quality implementation processes for Developers and Project Managers.
• The role demanded expertise in data integration with SOA-based brokerage application and information architecture, brokerage data management quality controls, enterprise technology standards, adapting to changes with frequent mergers and acquisitions, leadership and mentoring of technical staff during transitions, budgeting and financial planning, and vendor management.

Confidential

Senior Director Product Architecture and Information Management

• As leader of entrepreneurial initiatives, managed a team of architects, designers, and developers to develop web-based product solutions, 1 Trans-Scribe, a healthcare patient information management system, and 2 Place-M, a recruiting and placement support system. The role demanded close supervision and management of geographically distributed IT resources, finance, and budget. Responsibilities included:
• Architecture, prototyping, development, and operation support
• Enforcing standard solution practices
• Adherence to architecture and design criteria by all solution outsourcing partners
• Transformation of complex business requirements into technical specifications for outsourcing partners
• Coordination of join application development sessions with solution providers
• Information Quality Control and Data Integration
• Mentoring, coaching, and performance management of IT resources

Confidential

System Development Manager

• Managed and led a team of IT resources to design, implement, and support critical credit card application systems such as Credit Card Balance Transfer, Credit Limit Decision Engine, and Fraud Detection Service. Complex relational database with cutting-edge SQL and PL/SQL programs and packages design and comprehensive reporting capabilities were implemented to support hundreds of millions of dollars of balance transfer transactions per day.
• Development team manager of customer retention system and a highly scalable online credit cards account services solution implemented on Java/J2EE-Weblogic-Oracle technology platform supporting millions of website hits per day. The solution also required implementation of a comprehensive Extract-Transform-and-Load ETL and data integration components to support structured data transformation rules, operational data store, data warehouse, and business intelligence and reporting capabilities.
• Close coordination with internal IT vendor to outsource and manage system design and construction work as liaison of business customers and subject matter expert of business and application processes.

Confidential

Application Systems Manager

Responsible to architect, design, and implement Oracle/PLSQL based application systems. Successfully deployed Global Conference Design and Organization and Advertising Management application systems with planned users' training and on-boarding efforts. Extensive use of data modeling, application functions design activities to generate customer defined front-end application interfaces and data requirements driven database system. Led several complete system development life cycle projects involving extensive programming and integration efforts. Led and managed an IT staff of full-time and contracting resources.

Confidfenital

Senior IT Consultant

Responsible to architect, design, and implement Oracle/PL-SQL based Light Truck Durability Testing LTDT system to capture, track, and manage durability testing of the company's light truck prototype models. The system was the first implementation of Oracle Forms and Reports technology in the Ford Motor Company. Extensive use and practice of data modeling, database design, application interface, and database source code generation through Oracle Designer tool.

Confidfenital

Senior System Engineer, Software Engineer

Computer programmer and Management Trainee assigned to migration initiatives to re-write Mainframe/COBOL based systems to Oracle/UNIX/C /C based 2-tier distributed application systems and migrate Mainframe data to Oracle database solutions. Defined system migration strategy and involved in designing, data modeling, coding, and testing of several critical applications such as Automobile Sales and Purchase system, Central Tool Room Management system, Excavator Manufacturing system, and Automobile Technical Data Management system.