Non-Essential Functions, 10+ years of IT experience, preferably in a database or BI related role, Understanding of NoSQL concepts and design, Overall understanding IT systems and processes. Informatica, the world’s No. Participate in technical peer reviews to make sure the business requirements are clear and concise. Experience in design/architecture of MDM Hub, data integration, data governance process and data quality. Representative Data Governance Specialist resume experience can include: Able to apply expert negotiating skills within the context of high political sensitivity and conflicting interests To Develop data skills and enhance behavior to sharpen focus on long-term costs and benefits Thorough knowledge and operational skills in the Data Governance May be asked to coach, mentor, or train others and teach coursework as subject matter expert. It’s actually very simple. Perform PoCs (Proof of Concept) and help Department in the selection of Technology. Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Over 8 plus years of experience working in Business Intelligence with expertise in Data Governance, Master Data Management, Data Integration, Data Quality, Analytics and Reporting. Led the creation of Data Governance vision, charter, framework, committees and processes for the enterprise. Example goals of data governance programs 5. Experience with SDLC process especially using Agile & Waterfall models. Managing onsite/offshore resources by assigning tasks, overseeing the code changes, peer reviewing requirements and resolving any other issues. Participated in the vendor selection for all BI Platforms (MDM, Data Platform, and BI Reporting/Analytics) through RFP creation and review. Ability to translate broader business initiatives into clear team objectives and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action, Works with staff and customers to understand the business requirements and business processes, design data warehouse ('DW') schema and define extract-translate-load ('ETL') and/or extract-load-translate ('ELT') processes for DW, Creates discover-access-distill ('DAD') strategies to bring significant value to data understanding, Frames and conducts complex analysis and experiments using various statistical techniques, 6+ years in a Senior Technical Data Architect role preferable in a retail or financial organization, including Big Data technologies such as Hadoop, MapReduce, MongoDB, DashDB, and Exadata, Additional 3-5 years working in another role within a data warehouse team, such as business/data analyst, quality assurance analyst, ETL developer or BI / information delivery developer, Solid understanding of Business Intelligence (BI) technology trends, Experience with Cloud platforms is a big plus, Experience with unstructured data through the design and development of content management solution, Experience with Spark using Scala or Python is a big plus, Demonstrated ability to work independently and/or on a team and meet deadlines, A high level of enthusiasm and a go-get-it-done attitude, Develop an information-sharing strategy for the organization and ensure it supports key enterprise initiatives and strategies, such as enterprise application integration, service oriented architecture (SOA), cloud computing, pattern-based strategy, and big data solutions, Maintain reference architecture for the purposes of architectural governance and application roadmap, Set up, manage and lead Data Governance and Data/Application Steward programs, Manage the architectural data governance tools and process, Develop a gap plan between the current and future state data architectures and work with other enterprise architects to develop road maps for the orderly transition to the future state, Develop enterprise, application and analytical conceptual, logical data models in support of key initiatives, Lead efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, business intelligence (BI), content management, data integration, information lifecycle management and related information management or information infrastructure components, Ensure the overall design of company’s enterprise information architecture (EIA) and development of the organization's information-sharing strategy. Ported and Upgraded source code onto latest platforms. In future state, this will be the central source of data comprised of numerous data sources, including data from the ERP, CRM and numerous other sources, Integrate and blend data from existing systems, including SAP, MS Dynamics, Hyperion, and Workday. ), Play lead role in Information Management by recommending, evaluating and assessing new technologies, standards and exceptions, Analyze vendor software and professional services offerings as needed for inclusion in data solutions, Stay current with industry trends and changing technology, providing input and recommendations for further evaluation, Identify strategic data requirements and design models to make sure such data requirements align with the architecture of the enterprise, Assess the internal and external data and design blueprints to manage the available data, Creating inventory of data and storing the data in an easily accessible manner while ensuring protection from unauthorized persons, Lead development resources to design, develop and maintain Enterprise data warehouse, Manage and develop governance around BI reporting platform and the data warehouse, Responsible for protecting the enterprise’s data, but also creates back up plan to cater for the data needs of the company in times of emergency, Collaborates with other sub-units of the enterprise architecture to develop data solutions and models for the organization’s needs, as well as partners with the enterprise’s management needs to create data models in line with the organization’s needs, Remains up to date with current trends to discover new data management models and techniques, Meld existing data architecture with new ones as technology emerges, Must have a strong background in system development and data management, Must have working knowledge of Agile software delivery methodologies, Proven knowledge of database design and modeling is also mandatory for this position. Responsible for complete life-cycle development and support of Data Factory, a data generator tool. foreign key constraints), Create new conceptual, logical and physical models to deliver new requirements (top down approach), Work according to the project framework including timelines, quality plans, progress reporting, risk and issue identification and communication, Guide Customer for determining the information the enterprise will capture, retain and exploit, Facilitates the assimilation and integration of new technologies and/or change initiatives into the business operations, Extensive experience of the Data Architecture discipline in a global insurance organization with multiple corporate entities, In-depth understanding of data elements and their ramifications across systems for different Insurance products/LOBs namely Commercial Insurance, Retail Insurance and life insurance, Hand-on experience of implementing ACCORD standard and/or IAA/IIW models, Extensive data modelling, manipulation and rationalization experience within complex environments, Broad and in-depth experience of complex data environments design, Considerable experience of SOA based Enterprise Data architectures, Knowledge of web services and XML messaging including XSD, WSDL, SOAP and REST is desirable, Experience of MDM is a definite advantage, Past experience of data conversion and/or integration for COTS products like GUIDEWIRE, CALLIDUS, DUCKCREEK, VANTAGE etc will be a big plus, Three (3) + years of recent experience modeling for the Microsoft SQL/SSIS/SSAS/SharePoint BI platform for HFHS EDW OR, Experience in Epic Clarity and Cogito Data Warehouse preferred for HFHS EDW, BI development experience relevant to the Microsoft reporting platform preferred, ETL development experience relevant to knowledge about information design and compatibility preferred, Database administration skills relevant to knowledge about conceptual/logical/physical design optimization preferred, 10+ years of in depth experience in multiple IT disciplines within a higher education environment including technical architecture, network design, application development, middleware, servers & storage, database management and operations, Demonstrated ability to translate business needs into long-term architecture solutions. The Data Governance Institute defines data governance as "a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, un… The Guide To Resume Tailoring Guide the recruiter to the conclusion that you are the best candidate for the data managementjob. ... Data Governance and Integration Manager. Attended TDWI conferences and training in relevant Enterprise Warehouse subjects including Netezza, Informatica, data governance, master data management and integration technologies. LTD., India Sept. 1994 – March 1998. Designed & Developed new functions and commands in the existing software using C & C++ programming languages. Designed and Developed GUI for various products. Work on various enhancements in CIS, which is developed using ASP.NET, C#, Java Script, Java Web Services, T-SQL, SQL Store Procedures, ADO.NET, DB2 & SQL Server. • Integrate multiple digital data sources – email, search, social, CRM and mobile – for multichannel analysis • Drive revenue growth and cost savings through enterprise-wide digital channel optimization and analytics adoption • Negotiate and maintain all digital analytic vendor contracts • Establish digital data governance policies INTERGRAPH PVT. Technical Environment: VC++, MFC 7.0, C++, GUI, DB2 UDB, SQL and Microsoft Visual Source Safe on Windows NT/2000, CLIENT: CATERPILLAR, INC., Peoria, IL April 1998 – Oct. 2000. Currently working closely in collaboration with data architects to define Logical/Conceptual designs for the insurance models across the enterprise using ACORD Model. Drive enterprise best practices, principles and standards, Ability to analyze large scale data to identify new analytics, insights, trends and relationships, Experienced in selling and building Information Governance practices and processes across Fortune 500 companies, Expert knowledge around designing and leading Enterprise Data Warehouse, data mart, and BI solutions, Prior experience working with data modeling repository server environment and maintaining model versions/model objects which may be common to several distinct application development efforts, Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analyzing data and/or evaluating how information needs might be translated into back end database structures, Experience with a wide range of Big Data applications and architectures, Hands-on experience with IBM PureData System for Operational Analytics, Certifications in Enterprise Architecture frameworks (i.e. Has developed very good facilitation, negotiation, and presentation skills, Experience in proposal writing and business case development including a thorough understanding of ROI, cost/benefit, and TCO, Provide multi-dimensional modeling expertise and leadership by designing data structures to support the growth and improved reporting functionality of the EDW, Guide the development and maintenance of data standards, policies and practices; Guide the design of the data models, in alignment with the solution architecture, to ensure audit-ability of information assets, Analyze and understand enterprise reporting needs across the organization. Common business benefits associated to data governance 4. Support project architects, enterprise architects, and solution architects across the organization for Data Management and Data Architecture capabilities. Implemented MDM version 1.0 solution for Customer, Account & Producer Entities in Insurance Industry using Microsoft’s MDS and Profissee Maestro MDM Tool. Utilize domain knowledge and application portfolio knowledge to play a key role in defining the future state of large, business technology programs and solutions, Ensure data quality and drive improvements to data management processes, data storage, data consumption and data security to better meet the needs of the business and customers, Assess current data needs, its architecture and tools, and propose plans for improvements to support business growth in the most optimal way, Leverage past experience with “big data” to research, publish and manage data modeling and governance frameworks, technology & technical approaches, proofs of concept, complex design issues, and technical challenges across projects, all with regard to enterprise data, Drive data virtualization initiatives and determine appropriate delivery mechanisms to support data mining and gathering of customer insights, Partner with product development teams to define and design data architecture solutions, Define reference and implementation architectures, Monitor application implementation activity to ensure architecture and design principles are upheld, Function as a technological evangelist, discovering, facilitating discussion, and introducing new ideas, technologies, data usage, etc. oResearched the capabilities of Unified Web Service in Business Objects 4.0 and recommended the solution to be used for displaying BO reports in a web application. Our company will require that a Data Governance Manager lead and manage all organization-wide data governance activities and will have responsibility for improving the quality and managing the protection of sensitive data and information assets. Data architect, Data modeler, Data integration developer/architect, ETL developer/architect, Establish and manage the metadata management approach for the organization, Contribute to the evaluation and development of overall IT strategy and performance, Develop and support the maturity and adoption of an Enterprise Information Management program across the organization, Strong analytical skills; ability to analyze raw data, draw conclusions, and develop actionable recommendations, Good knowledge of applicable data privacy practices and laws (FERPA), Strong ability to resolve conflicts with the ability to influence and drive consensus, Possesses solid financial industry business knowledge as well as knowledge of major data consumption use cases in financial services, Strong knowledge of Data Governance, Data Quality, Data Lifecycle Management and Privacy Principles, Is knowledgeable and experienced in supporting / working with the DevSecOps paradigm, Excellent verbal and written communication skills, with good senior-level stakeholder management soft skills and competencies, Our total compensation approach includes a competitive base salary, 401(k), strong work/family programs, and medical, dental and disability coverage, Organized, detail-oriented, QUALITY-focused, Excellent relationship building skills; ability to interface with a variety of stakeholders, Exhibits solid knowledge of data architecture concepts and practices, Possesses a university degree/college diploma in related discipline(s) and/or 8 to 10 years’ experience in the IT industry, Possesses solid financial industry business knowledge and expertise in some aspects of data architecture, Demonstrates solid knowledge of major regulatory frameworks related to risk data aggregation (e.g. Contribute to the overall strategy and manage complex issues within functional area of expertise, Develop overall strategic technical plan and create architecture proposals based on identified solution gaps. & Architecture for the complete life cycle development of Benchmark Factory, CRM. 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