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A strategic minded visionary and action oriented Information Technology leader with over 18 years of proven track record on enterprise information management (EIM), master data management(MDM), data governance, business intelligence (BI), analytics, application development & architecture and strategic planning. XML, JSON), with data ETL expertise (e.g. Currently, working on RFP for BI Reporting and Analytics platform tools acquisition. Enterprise data management involves several components, including: Data Governance Data governance refers to the policies and processes used to ensure the integrity, quality, and security of data. Follows all Bank policies and procedures and compliance regulations, and completes all required annual required or job-specific training. Hadoop and Spark), Strong data integration knowledge; Data Modeling; highly experienced in data governance; and knowledge of presentation layer, data visualization and dash boarding, Responsible for end-to-end data architecture and governance from an Enterprise perspective, Drive both the data architecture and governance for the operational and analytical data environments, data consumption patterns and design to achieve desired business outcomes, Interact with all levels of the organization spanning IT and each of the business functions and markets across the corporate network as required for standard data processes or projects, Assist in the design and build for data strategy, direction and roadmap for master data management, data quality program, data warehousing/lake, business intelligence and analytics for the enterprise, Develop / enhance data models to support business requirements from strategic initiatives, Propose appropriate modeling and data management solutions to meet the overall vision of the organization, Develop and maintain lineage among various systems in the enterprise, Make necessary on-going updates to modeling principles, processes, solutions and best practices to ensure that the data management is aligned with changing needs of the environment, Deep understanding of master data management architecture and applications, Construct holistic view of the data infrastructure required to run the business and collaborate with technology and business partners, Define, design and oversee data migration architecture or processes in a single cloud, Proven experience in architecture governance, controls, and peer reviews in regard to data, security, and cloud, Experienced in developing architecture reference models for data governance and control, Ability to authentically and effectively communicate with various stakeholders across business and IT, Responsible for creating design patterns and best practices for data and the integration of data through the enterprise, Ability to understand and mitigate architecture risk and compromise, 10 or more years of data analysis, data modeling, data integration experience, working alongside business and IT teams in support of IT project and business initiatives, Curiosity, business and results orientation is a must, alongside knowledge of and experience with leading data analysis and data management approaches, Hands on data-centric operational experience, in support of business functions (Customer, Marketing, Service Center, Sales Comp Analytics), Demonstrated understanding of data management best practices and patterns, Detail-orientation with the ability to rapidly learn and leverage new concepts, business models, and technologies, Experience in influencing executive business and IT leadership, Ability to design and develop Business Process Management workflows, spanning both orchestration and human task use cases, Ability to regularly operate a motor vehicle. Why bother 3. In partnership with business, functional, and information technology leaders across the business, this position will determine which data/information assets should be treated as enterprise information (for example, key data such as Provider, Client, Claims and locations, and shared business transactions across the Health Care domain) and share such information across the enterprise, Maintain the approved technology stack documentation and validate new designs against the stack, Identify opportunities to generate revenue or improve business performance through the use of internal or external information content, Prepare conceptual and logical subject area models and implementation-level details that affect the continuum of disciplines involved in the architecture, design, implementation and management of enterprise data, Collaborate, coordinate, and communicate across disciplines and departments, The position responsibilities outlined above are in no way to be construed as all encompassing. Why We Need You The Director, Data Governance is responsible for building and executing the enterprise data governance strategy and roadmap in alignment with PEMCOs corporate visionIn addition, the Director leads the virtual corporate-wide Data Governance and Analytics Office function which includes stakeholders from all PEMCO business areas including Marketing, Sales, Claims AFLAC, Columbus, GA January 2015 - Present. 4,039 Data Governance Analyst jobs available on Indeed.com. Related experience is defined as six (6) years experience in multidimensional modeling, modeling for data warehouse architecture, Three (3) + years of recent experience modeling for the Microsoft SQL/SSIS/SSAS/SharePoint BI platform, Experience in Epic Clarity and Cogito Data Warehouse, BI development experience relevant to the Microsoft reporting platform, Establish the enterprise information and integration strategy and platform (MDM, SOA, ETL, Data Virtualization, Data Governances, etc.) 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. Data Architecture is the physical implementation of the Business Strategy, said Nigel Turner, Principal Consultant in E.M.E.A. Sr. Data Governance Manager Resume Profile. Proficient using Profisee Maestro, Informatica Siperion and IBM Infosphere MDM, DQ & DG tools. Actively learns, demonstrates, and fosters the Umpqua corporate culture in all actions and words. Proven "hands on" MDM experience with expertise in MDM strategy proposal, roadmap and planning with phased implementation leveraging best practices and strong focus in data quality for measurable return on investment. Received Aflac Way Honors from BU for the successfully implementing hierarchy in CIS. 8,725 Enterprise Data Governance jobs available on Indeed.com. Experience with SDLC process especially using Agile & Waterfall models. 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 companys enterprise information architecture (EIA) and development of the organization's information-sharing strategy. Computer Science or related discipline or equivalent work experience and technical certifications, 8+ years of experience in IT, with a focus on data management and analytics, A minimum of 4 years of experience in a data-related specialization (data integration, data modeling, data warehousing, business intelligence, etc), Experience with business intelligence and/or data warehouse technologies and design patterns required, Experience with and/or exposure to all 4 tiers of data analytics preferred (descriptive, diagnostic, predictive, prescriptive), Experience with OLTP data modeling preferred, Understands, advocates, and supports the enterprises IT and enterprise architecture strategies, Willing and able to be hands-on as needed (data modeling, data integration, metadata management), Ability to work independently or in a small group and serves as a teacher and mentor to other associates, Must have proven ability to build trust relationships with business partners, Understands technical solutions and business impacts of the solution, Familiarity with, and demonstrated understanding of, the general enterprise business and technical architectures, Proven ability and experience diplomatically presenting challenging positions and positively influencing others without resorting to authority; ability to debate effectively for or against project changes, continuation or cancellation, as appropriate, Experience in facilitating change, including collaboration with senior-level stakeholders, Proven internal and external influencing skills at senior and executive management levels, Expert knowledge and demonstrated abilities to lead large, multi-million dollar Data programs, Well versed in the following data domains: Master Data, Operational Data, Analytical Data, Unstructured Data, Metadata, and Big Data, Ability to architect scalable infrastructure and platform to collect and process very large amount of structured and unstructured data, Previous hands-on experience with high-scale or distributed RDBMS, Proven experience of building a reference architecture and roadmap for the enterprise. Assist Management in Business Case Development and Scenario Planning leading to an effective decision making process. Working closely with data stewards in creating Business Glossary/Business Definitions and participating in the approval process. LinkedIn: https://www.linkedin.com/in/niteshmohanlal. Responsible for mentoring junior developers and analysts on any issues related to coding or design. Designed and Developed GUI for various products. from creating GUI prototype, analysis, design, coding, testing & roll out. 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. By James E. Powell; October 8, 2018; In an age when regulations such as the GDPR impose ever-greater penalties, data governance's importance has never been higher. Work directly with the Business Units to identify their needs. This includes application for relational databases, NoSQL repositories, full text search engines XML models, business object models, metadata management, taxonomy/ontology development, and enterprise data models, Understanding of healthcare domain and clinical trial research and development including industry standard data formats such as EHR, HL7, CDISC, OMOP, Knowledge of medical coding and validated terminologies such as MedDRA, SNOMED CT, RxNorm, ICD-9, and ICD-10, Possess knowledge on leading edge concepts in technology including Web technologies, SOA, IoT, Cognitive Computing and Machine Learning, Virtualization, Containers, Security, Cloud Computing, Mobile, Knowledge and experience with multiple software development methodologies, Possesses strong verbal and written communication skills to help in his/her interaction with a variety of stakeholders, ranging from developers to executives. This way, you can position yourself in the best way to get hired. Because of the Commute Filter, your results are limited. Responsible for complete GUI development of the software. In 2020, thousands of professionals from around the world participated in this event. Performed major enhancements and modifications in the existing software to make the products re-saleable. The role maser data management in data governance 10. Successfully completed implementing PHS project for identifying policy holders using Master Data. (e.g., possesses The Open Group Architecture Framework [TOGAF] accreditation), Possesses solid knowledge of Data Architecture Maturity Evaluation concepts and metrics (e.g., ACMM), Possesses solid communication skills, both written and oral, Is energetic, personable, and achievement- and outcome-oriented, Knowledge of industry and customer's data standards and architectures, Thorough knowledge of design and integration principles for complex, heterogeneous databases, Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure, Experience with integration of metadata management, master data management, and data quality/governance functionality, Ability to maintain currency on tools, methodologies, and technologies, Ability to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and resources staff, Excellent analytical skills, problem solving skills and and strong attention to detail, Experience developing and supporting Enterprise Data Warehouses, Prior experience with Business Intelligence reporting platforms required - (Cognos BI and TM1 a plus), Solid understanding of the project management, development lifecycle, including data modeling, dimensional and relational modeling, requirements analysis, ETL, and report creation and delivery, Masters degree in Computer Science, Computer Applications, Information Systems or related work experience, 7+ years of experience in Data Warehousing, Expertise with Big Data & Cloud Ecosystem like Amazon Web Services, Experience in Media & Entertainment is preferred, Interprets business strategy and develops organizational objectives to align with this strategy. Also established Data stewardship teams across the enterprise for business glossary creation and MDM exception handling. Whos typically involved in data governance programs 7. Proficient in the knowledge of Teradatas UDA (Unified Data Architecture) that includes Teradata DB, Aster & Hadoop. Worked on the design and development of several RPM reports created using SQL Server Reporting Services (SSRS), Lead the design of the C# portal code to simplify the maintenance of the code base, QUEST SOFTWARE, St. Louis, MO Feb. 2001 Apr. Responsible for the complete life cycle development of the CIS, a CRM product. 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. As recognized subject matter expert, lead planning, design and implementation of technical solutions. Proactively create and maintain solution and technology road maps, Lead Quality Assurance and Quality Control processes in the department, Lead and guide team through all phases of the SDLC of an application, Ensure compliance to the defined standards. Architecture Review Board, Enterprise IT Controls), Ensure consistency in architecture artifacts and deliverables for all Enterprise Architecture engagements, 12 to 15 years of IT job-related experience, Five plus years of experience developing complex integration and information solution design, Must have experience with ALL SOA, MDM, Big Data, Messaging, Middleware technologies, Develop technology roadmaps for information and integration technologies, 3 to 5 of experience in implementing the data management platforms, Experience with API design, Data Modeling, and Microservices architecture, Extensive experience working with diverse project teams specifically working with members representing many segments and levels of the organization, TOGAF, SOA Certification or similar EA Framework, Experience in leading and managing project execution process, Experience in Websphere MQ, WebSphere Message Broker, HTTP, FTP, FIX, XML Schema, WS-* and related standards such as REST/JSON, SOAP/WSDL, Participates in building and maintaining Starbucks business capabilities models, Work with stakeholders to develop processes by which the information assets are defined, governed, and managed, in order to leverage the data in support of the strategic goals of the enterprise, Participate as appropriate in new project initiation, Educate and evangelize industry practices and technologies to team members and stakeholders, Ability to act as a key member of the senior leadership team, Information Architecture at large enterprise scale (5 years), Information Architecture, governance and strategic road mapping (10 years), Experience designing information solutions for modern, service oriented platforms (5 years), Retail industry expertise preferred (1 year), Bachelors degree in computer science, management, information systems, or related discipline, or equivalent work experience, Ability to model information across complex business domains, Deep data modeling expertise to model application domains by partnering with the business, Understanding of data profiling and quality assessment, Able to communicate effectively at all levels, from technical team to leadership, Ability to collaborate with business users to understand requirements, Ability to work effectively across internal and business organizations, Understanding of information asset management, Identify data needs in projects and end-to-end processes (from operational to analytical), Prioritize data investments and allocate the corresponding budget, in line with the strategic priorities, Align the data needs of operational projects with the data needs of go-to-market and strategic projects; prioritize projects and allocate the corresponding budgets, Look for synergies between roadmaps and projects to make maximum use of investments in new data concepts, Prioritize problems with data quality, organize the solution with technical departments, and allocate the corresponding budgets, Help the business teams translate data needs into clear and useful requirements, Discuss end-to-end data management aspects with Project and Program Managers and Enterprise Architects, Organize training and communication on the correct use of data, Promote the data program within the company, Act as an interface between the business and the enterprise architecture to translate needs into blue print, Ensure alignment with all stakeholders who have an impact on the data architecture, Enterprise Architects and Project Architects, Data consumers and business information owners, >5 years of experience in Telecom or IT engineering or Enterprise Architecture or Data Architecture, You are fluent in French/Dutch and English, You understand the business dynamic for creating value through investments, Demonstrated decision-making, influencing and leadership skills, Demonstrated effective, synthetic communication, Known for being a team player with strong collaboration skills, You have a constructive attitude and a strong interest in technology investments and customer satisfaction, You are comfortable around higher management (you can give presentations calmly, without getting nervous, and understand how they think and work), Bachelor's Degree in Computer Science, Business, Health Care or related field, Technical training in multi-dimensional modeling and data mining/warehousing techniques, Minimum five (5) years of experience in multidimensional modeling, Three (3) + years of recent experience modeling for the Cognos BI platform, Expert level knowledge and understanding of data warehouse architecture, application design, systems engineering, SDLC and integration, Demonstrated experience leading teams that analyze complex data related issues and/or logical data models in support of corporate and customer information systems requirements, Solid understanding of methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations, Business analyst skills relevant to communication and analysis functions, BI development experience relevant to the Cognos reporting platform, ETL development experience relevant to knowledge about information design and compatibility, Database administration skills relevant to knowledge about conceptual/logical/physical design optimization, Ability to understand business requirements, translate them into technical designs, deal with complexities of integration of disparate systems, investigate the quality of the data in those systems and put it all together so it can be accessed, manipulated and turned into business intelligence, Technical knowledge, analytical skill, reliability and initiative required to implement quality data warehousing systems and deliver timely and well organized data intelligence, Ability to collect and prepare data for written and/or oral presentations communicating effectively with all levels of data processing and user management, Knowledge of Information Services policies, procedures and functions, Knowledge of Healthcare data and business practices and processes in order to provide appropriate and accurate levels of data intelligence to the business community, A high level of human relation skills in order to be effective in working with people of varied skills, backgrounds, and personalities at various levels throughout the organization, Using tools such as data modelling, data governance and master data management solutions to maintain and enhance our enterprise data architecture, Designing key related data architectures top-down to ensure the integrity and sustainability of the enterprise data models, Being involved in the definition of the enterprise data architecture standards and you will be involved in key data related projects such as global system deployment, enterprise MDM implementation and analytics projects, Working very closely with the Enterprise Data Management, the Data Quality and the Analytics teams as well as the IS function in charge of the enterprise platforms implementation, Work with KTG leadership to ensure the Enterprise Data Architecture goals support the business needs and initiatives, Work with Infrastructure Architects and Data Center Operations on the design of database projects and metadata structures, Develop and promote corporate data standards, Develop and promote data and metadata policies and procedures for structural design and development to build, maintain and leverage the data model, ensuring integration with corporate data standards, Ensure all data models, documentation and scripts are accessible to entire organization, and ensure consistent version control is maintained, Provide technical and strategic guidance in the creation and implementation of data standards and structures, Provide technical oversight and direction for integrating new technology or new initiatives into the metadata and data, Promote existing Enterprise Data Warehouse strategy enabling a consistent information delivery mechanism to the business, Facilitate proper data integration between custom built in-house applications and purchased software, Assist development of strategy for data integration between on premise applications and cloud-based solutions, Evangelize Data Governance and value of accurate master data and metadata, Minimum of 5-7 years experience in data architecture, Expert level knowledge of data standards and architectures, Thorough knowledge of design and integration principles for databases, Teradata, Big Data, Azure Data Lake preferred, Experience with the architecture, design, development and testing of Data integration/acquisition process, Ability to evaluate and make recommendations regarding data integrity, Experience integrating multiple disparate internally developed and off-the-shelf purchased software, Ability to develop methods of ensuring data incompatibilities among systems are systematically eliminated, Bachelors in Computer Science, Management of Information Systems or related preferred, Develop technology strategy, future state architecture, and roadmap for data, analytics, and integration solutions, Serve as information expert across multiple application and platform projects, Assess technologies for information storage, searching, and querying, Determine the structural relationships and representations of data entities, Develop architecture strategies for multi-tenancy, data access control, data mappings and transformations, de-identification and data masking, Apply clinical trial and healthcare industry data standards, Optimize data solution design based on data consumption needs ranging from traditional reporting, advanced analytics, machine learning, and enterprise data integration, Apply advanced thinking to solve regulatory compliance requirements, Gain approval on proposed data standards from the Technical Design Authority, Provide long term evaluations of systems, company wide, Expert level experience with big data and traditional data architectures including: data warehousing, big data, real-time data warehouse, data virtualization, master data management, metadata management, and data transmission/data exchange, Expertise in data modelling for relational design and object oriented design. 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