Enable enterprise information management: Ensure that the architecture is used as a lens and a filter to identify, prioritize, and execute the data and analytic initiatives with a clear line of sight to enterprise strategies and business outcomes.Assessing the benefits and the risks of information planned to be used in key initiatives to help steer the project teams in the right direction. Provided the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies. Influencing data/information strategy: By partnering with business unit leadership, and through the rationalization of the information value chain, the information architect will provide strategic, information-based recommendations to protect the organization from disruptions while also embracing innovation. Working with Data Governance suggesting who can take what actions, with what information, and under what circumstances. Assist the Enterprise Data Group in developing governance processes and structures. Creating more value from data, Exploring the impact of business strategy changes on information management practices. Investigating ways to extract additional value from existing information assets. Data modeling: Creating and managing conceptual and logical data models. Provided Data Modeling expertise using Industry Models (IBM, FIBO, BIAN). Championing efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration / data mesh, and related information management or information infrastructure components.

Work with senior leaders to establish the enterprise data architecture functionLead the development and adoption of a data and analytics strategyCollaborate with business and technology stakeholders to understand their priorities and requirements, plan solutions, and develop business cases for investment.Develop and publish models, catalogs, schemas, glossaries, roadmaps, online collaborative environments, knowledge repositories, and other artifactsLead selection, implementation, and integration of data management and analytics toolsProvide strategic and technical direction for key vendor relationships, beginning with Databricks and MicrosoftReview designs, quality plans, and test results to ensure that business solutions are sufficiently robust, stable, scalable, performant, and compliant to meet functional and non-functional requirementsHelp to build the Genesis enterprise and data architecture capabilities, which are based on TOGAF®, ArchiMate®, BIZBOK®, and other predominant standardsDesign, implement, and facilitate data-focused development and review processesEstablish and lead communities of practiceMentor other data professionals

Build a set of Data Models for Nationwide and Kemper insurances to consolidate data P/C data for the largest Banks/ Insurance companies into a form that will enable migration to the cloud DW (Snowflakes) and using Delta Databricks Data lakes, Data Vault Methodology v2.0. Manages and guides a team of data modelers and data analysts to ensure their work meets the client’s objectives. Define the standards for data ingestion, data refresh, data modeling, and data governance.Participate in requirements and design workshops contributing artifacts as required.Partners with the data governance group in the selection of data management tools.Collaborate with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.Lead technology innovation for our clients through robust delivery of world-class solutions, and creation of Modern Data Architecture, covering all aspects of Data including Cloud First Data Management, Data Governance, Data Intelligence, and Data Modeling. Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the Modern Enterprise Data Warehouse and Data Management. Develop, execute, and deliver a data strategy that defines and supports the capabilities for data acquisition, integration, transformation, data-ops, governance, insights, and consumption of actionable data.

Build a set of Data Models to consolidate data into a form which will enable cross-process, Actuarial analytics of all the collected data. Put processes in place for deduplication, cleansing and consistency checks. Cooperate tightly with Data Engineers and design best practices for manipulating data.Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics, and machine learning).Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data modelsDefine and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

Provide leadership and direction for the strategy of data platform development, data and information system management, and processing. Led a twenty-five-person team responsible for the company’s data centralization and analytics. Actively participate in the development and establishment of beGroup JSC strategies and objectives for profitable growth. Responsible for developing, leading, administering, and coordinating all phases of the organization's information technology including Modern DWH solutions (evaluated and enhanced the performance and scalability of data architecture on Google BigQuery and BigTable), Digital Data Hubs, Big Data, MDM and Salesforce, Cloud and Hybrid Architectures, Data as a Service Solution (DAAS), monetization of Data and Data Services for Be Group, O2O ecosystems and partners, data and information policy, governance, and management. Design multi-phased cloud data strategies, including crafting multi-phased implementation roadmaps. Design and develop scalable data ingestion frameworks to transform a variety of datasets. Serve as a subject matter expert in a cloud platform. Deliver on the technical scope of projects Research, analyze, recommend, and select technical approaches for solving exciting and complex development and integration problems. Deeply involved in designing and deploying end-to-end solutions with a cloud platform’s analytic services. Lead the creation of technology roadmaps based on gathered and prioritized business needs. Conducted and led white-boarding sessions, workshops, and project meetings supporting data-enabled solutions. Design & develop data models in support of BI/Analytics solutions.

Oversees integration of IBM BDW data models and definitions from multiple sources areas into a combined data architecture to serve the bank. Creating of Information management Delivery program will support VPBank's ability to effectively create, integrate, disseminate and manage data for all enterprise applications, processes and entities requiring timely and accurate data delivery. Thus, the data will be delivered to the VP bank in a usable and structured format, such that the data sets are compatible with the bank's business processes. Goals of the IMD Program to build a centralized bank-wide data repository (DWH, ODS, MDM)

Working to create Operational Data Lake for ODS, Advanced Analytics, and Application data engine technologies. It creates technology foundation for implementation new systems in the most important areas: customer service/customer satisfaction, digitalization of the relations with customer, and business individualization. This approach can close all tasks related with Fraud prevention, Behavioral analysis, Application data support, and Social communications base on any type of data

Lead and support business development activities such as identification, proposal development, and other pursuit activities at clients while working with the appropriate EPAM resources from Insurance service lines/industries Lead design and blueprinting sessions and act as a solution architect for Insurance implementationsLeverage industry specific knowledge to identify complex client issues and build long-term business relationships with key executives through engagement delivery and networking in professional organizations Participate in business development by identifying new opportunities and assisting with proposal development Contribute thought leadership to the development and evolution of Insurance Framework methodologies and intellectual capital including publishing articles, whitepapers, or performing research in support of EPAM initiatives Manage and provide leadership to teams of staff level professionals and become actively involved in staff development and practice management

Interface with both the generalists and specialists in the MSFT sales and delivery teams (including partners, services, Internal Microsoft Product / Service organizations) focused on consumption of the Data platform, Azure for high potential accounts.Design, coordinate and execute pilots to modernize customers’ Tier-1 mission-critical solutions for performance, scalability, latency, reliabilityExecute technical proposals for optimizing and modernizing identified workloadsDesign data platform mission critical solutions and migrations to the Microsoft data platform using MS Azure Possess in depth knowledge of competing technologies in database, data warehousing and big data e.g., Oracle, MSSQL, Teradata IBM and HANADesign data storage, movement, orchestration solutions and create rich visualizationsIdentify, scope and participate in the design and delivery of advanced analytic solutions (e.g., predictive maintenance, predictive health care, etc.) and IoT solutions with the assistance of the Advanced Analytics and IoT expert teamsSelect and execute a platform modernization approach for customers’ data environments; Drive the quality of the DP modernization plan with Microsoft Consulting Services or partnersDesign, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios and provide deployment guidanceDocument and share technical best practices / insights with engineering and the architect community

Igor Gonchar was with IBM for 17years. Starting as Executive Consultant, Associate Partner, And Executive IT Architect. He focuses on the elements required to manage all aspects of data and information (both structured and unstructured) from business requirements to logical and physical design. He provides the full information management lifecycle from acquisition, through cleanse, transform, classify and storage to presentation, distribution, security, privacy and archiving. As Information Architect he provides services which include databases (relational, hierarchical and object-oriented), file systems and storage management, as well as document imaging, knowledge and content management, taxonomies and business intelligence. He is capable of designing centralized or distributed systems that both address the user’s requirements and perform efficiently and effectively. Igor is experienced in the data warehousing multi-dimensional database concepts, large project experience, and Data Warehousing project leadership, full project development life cycle for Data Warehousing, Data Modeling and CRM.

• Leverages IBM’s Growth Initiatives including Cloud, Analytics, Mobility, Social (CAMSS) Demonstrates knowledge in industry-specific IBM Smarter Planet Industry Solutions and Smarter Analytics Signature Solutions, Smarter Commerce solutions, GBS Strategic Business Solutions and SWG Buyer-Aligned solutions • Builds trusted relationships to help clients develop customized Industry Solution Roadmaps which formalizes short-term and long-term strategies for Smarter Solution software and services and overall IBM solutions growth within account• Provide client and IBM team leadership in support of projects that span requirements, design, development, and deployment, as well as in support of sales efforts for new and future work• Support the identification, development, and closure of sales efforts in support of an identified sales target• Provide capital/financial markets operations subject matter expert guidance, strategies, and best practices• Build and lead internal communities of IBM industry practitioners• Lead or contribute to the creation of IBM positions on specific banking operations topics;• Define, develop and use repeatable consulting industry solutions• Transfer knowledge to local IBM teams through training and side-by-side engagement workCreated and sold Smart City intuitive to St. Petersburg, solution was based on IBM Smart City methodology and IBM Intelligence Operation center software package (http://www.agencysgm.com/en/news/saint-petersburg-is-tended-to-be-a-smart-city/)Led workshops for Russian Oil industry to create analytics-driven oil and gas organizations, which provide trusted information to predict business outcomes, and to make real-time decisions that help them outperform their competitors. Using IBM Big data reference Architecture for Oil and Gas, which provides a scalable, easy to use, secure information management and analytics platform for complex and large-scale analysis and economical storage of drilling production data

Working with IBM Industrial Models (BDW, IIW, IAA, RDW, TDW)• Enhance the Conceptual data model to incorporate the additional systems of scope and perform the physical design of the staging area to store the Client Data Hub entities and attributes for Merrill Lynch CEDP project• Project manager and Lead Architect for the design and analysis of the HR Lincoln Financial Reporting Data warehouse project (HR RDM).• Technical Director of AOL-IBM OnRamp project, which including complete redesign of AOL Information Architecture and Systems. Project is to enable AOL to provide a comprehensive view of their customers and their experiences to any real-time system for immediate decision-making.• Lead Data Architect for multiple multibillion-dollar Insurance companies on IBM’s projects• Lead Data Architect for e-commerce marketplace, using XML and MQSI), AFG, and ING engagements.• Lead Technical Data Warehouse architect for IIW implementation for Large Equitable Company, American Bankers Insurance group and Commercial Insurer• Leader of a Data modeling process for creation of enterprise Data model for Larger HealthCare Insurance• Led Data Warehouse Architecture proposals for Data Warehouse Implementations, using IBM IAA and IIW for several of the largest US Insurance companies (USAA, GEFA, CONSECO, ING and more)• Led Data modeling process for creation of the enterprise Data model for Aetna HealthCare Insurance• Led Technical and architectural implementation of a Data Warehouse for Insurance Information Warehouse and Insure Risk Network products of IBM

Focused on the elements required to manage all aspects of data and information (both structured and unstructured) from business requirements to logical and physical design. He provides the full information management lifecycle from acquisition, through cleanse, transform, classify and storage to presentation, distribution, security, privacy and archiving. As Information Architect he provides services which include databases (relational, hierarchical and object-oriented), file systems and storage management, as well as document imaging, knowledge and content management, taxonomies and business intelligence. He is capable of designing centralized or distributed systems that both address the user’s requirements and perform efficiently and effectively. Experienced in the data warehousing multi-dimensional database concepts, large project experience, and Data Warehousing project leadership, full project development life cycle for Data Warehousing, Data Modeling and CRM.Manage, develop, and execute the Business Intelligence strategy. Responsible for providing strategic leadership for BI in the areas of Data Warehousing, Business Intelligence, Dashboards, and other associated systems.
Responsible for effective governance of the BI function to remain within program guidelines and procedures. Be the liaison between the BI team and the corporate IT team. Assure development and documentation standards are enforced.
 Responsible for BI production supportHe has lead teams responsible for the definition, design, and construction of core Data Warehouse & Data Management solutions within large-scale Customer Relationship Management (CRM) initiatives. As part of the global organization, he has lead teams of data warehouse development professionals and provided productivity improving and/or revenue enhancing tools to business units.

Igor Gonchar is Executive IT Architect, Certified Consultant in Technology and Integration for the IBM Software Group, Information Management and Center of Excellence for MDM solutions and responsible for the information management, integration services in SOA environment. These solutions include data modeling, development and implementation of data, multigigabyte to terabytes size warehouse solutions, and establishment of new and enhancements to existing data transformation rules. Determine business deliverables, data discovery processes, recommend data warehouse approach, dimensional modeling, database sizing, physical database design, system infrastructure, data mapping, extraction, cleansing, transformation, propagation, and performance tuning. Familiar with the IAA, IF reusable asset specifications, and was able to apply them in developing SOA assets based on engagement experience and opportunities. Designed business architecture, Designed technical architecture,

was involved in the development of business cases requiring Data Warehousing solutions. These solutions include data modeling, development and implementation of data, multigigabyte to terabytes size warehouse solutions, and establishment of new and enhancements to existing data transformation rules. He has determined business deliverables, data discovery processes, recommended a data warehouse approach (i.e. IAA, IIW, BO or DSS data application tool, etc.), dimensional modeling, database sizing, physical database design, system infrastructure, data mapping, extraction, cleansing, transformation, propagation, and performance tuning. Additional responsibilities included recommendation, development, and implementation of information access and delivery tool(s) appropriate and scaleable for IBM clients (i.e. custom, OLAP/OLTP, ad hoc, web based, etc.).

• Leader of a Data modeling process for creation of enterprise Data model for Larger HealthCare Insurance• Re-engineer/streamline current business processes• Develop new business processes required to meet market segmentation business objectives• Automate PMIC’s business processes onto a flexible, cost-effective, integrated, and reliable data, business rules, and IT architecture• Transform organization to new processes and systems• Replace legacy systems, environment, and costs

was involved in the development of business cases requiring Data Warehousing solutions. These solutions include data modeling, development and implementation of data, multigigabyte to terabytes size warehouse solutions, and establishment of new and enhancements to existing data transformation rules. He has determined business deliverables, data discovery processes, recommended a data warehouse approach (i.e. IAA, IIW, BO or DSS data application tool, etc.), dimensional modeling, database sizing, physical database design, system infrastructure, data mapping, extraction, cleansing, transformation, propagation, and performance tuning. Additional responsibilities included recommendation, development, and implementation of information access and delivery tool(s) appropriate and scaleable for IBM clients (i.e. custom, OLAP/OLTP, ad hoc, web based, etc.).

Modeled and build Corporate Data Warehouse (> 1 TB) for Freddie Mac (McLean, VA) using SP2 server and DB2 Universal Parallel Processing Database. Consulted on modeling, design and architecture of component applications.Modeling business processes and database design for enrollment and eligibility for CIGNA Insurance Company in Philadelphia. Standards, Procedures, System architecture and design for Data Warehouse solutions.Create Executive Reporting system for Citibank Credit Cards Data Warehouse (>2 TB of historic data) using COGNOS, SAS. Involved in Database Architecture Design and Data Warehouse development, enchantments to reporting systems (using CristallInfo and Business Objects) for Ernst and Young Financial and HR databases.

Project leader of Data Warehouse implementation (Oracle) for Nationwide Insurance Company at Portland, Oregon.Prepared Data Warehouse models for Data Mining, DSS and Business Analysis. Application level DBA. Created indexed, tables, access level

Responsible for optimizing the design and utilization of development tools and products. Provided technical consultation and support to software development teams. Developed Enterprise database models using business process models; establish entity relationships within databases. Build and managed different Sybase databases, using MDI Gateway connections from mainframe DB2 databases (SMS INVISION and Signature). Managed enterprise object oriented encyclopedias (data dictionaries). Designed and developed Business Intelligence reporting solutions, Performed analysis of reporting requirements and provided plans for implementation of Cognos technology. Supported graphical, visual presentation of data, created queries & reports data Using Cognos software . Worked with SMS Information Systems team in the development of the Enterprise data warehouse.

Interacted with business partners to understand business needs and issues help business partners define effective business processes and define system requirements that will meet their needs. Used CASE Tool to develop Business Area Model, Analysis Models, Process Modeling, and Logical Data Modeling for Eligibility and Medicaid projects. Using Analysis workstation to provide Data Modeling, Analysis and Data Mining. Developed detailed specifications for Decision Support System for the design of programs, code, debug and document using CASE Tools and Information Engineering methodology, Systems Analysis and mainframe programming. Responsible for Encyclopedia Management and Technical Support of ADW (CASE) users and Methodology Acquisition, provide internal consulting service. Developed, Design and coding applications for Client-Server Projects, Business Area Model and Database Design, using CASE Tools, SQL server and MS Access, Visual Basic V.4.