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The role elevates data quality across the MVW Enterprise and expand the value of business data to drive growth with a focus on the following areas of work: enterprise data strategy and governance, data platform architecture, data engineering leadership, collaboration and alignment, and innovation and continuous improvement.
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Provide SME across data management domains, such as data governance, data strategy, data architecture, metadata management, data requirements, data engineering, data quality, and data integration.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Database: Design of data strategy for manufacturing, quality, and business enterprise systems AVEVA PI: Develop and define data structures / guide UI development. Network architecture, virtual machine environments (VMWare), VLANs, firewall rules, servers Industrial control system integration using open integration protocols OPC/MQTT Unified Namespace Architecture, IS95, event driven architectures AVEVA PI Systems architecture including connectivity, asset framework management, client visualization tools.
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The VP, Analytics Engineering will be the key contributor to the execution of strategy for the Data Analytics Engineering team and will build the roadmap for the architecture, systems and tools required to have a best-in-class data ecosystem.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Drive consensus on business and technical data strategy decisions and ensure that appropriate resources are employed to deliver high quality results. Expert in data architecture methods and tools, strategic planning, business intelligence systems, data storage models, real time data stores, enterprise integration patterns, and KPI frameworks for large and complex solutions.
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Stay updated on emerging trends, best practices, and innovations in data architecture and recommend their incorporation into EDM data strategy. Job Description Roles and Responsibilities In this role, you will: Develop and demonstrate a comprehensive data architecture strategy that aligns with the EDM strategy.
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Assist in data strategy and governance, data quality, and data architecture and modeling projects. We help clients succeed by applying our core strengths in business applications of Data Management, Analytics, Modeling, and Business Architecture to gain insight, increase performance, manage risk, and improve operations.
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Works with IT and business teams to design and maintain the enterprise data model; supporting enterprise data strategy; will design, implement and execute changes to existing data models; create new data models that are congruent to Enterprise Data Warehouse (EDW) data model and architecture strategies.
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We are seeking a remote Cloud Security Architect Lead to join our team supporting the Security Architecture and Vulnerability Management Support Services contract for the National Oceanic and Atmospheric Administration's (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) information systems.
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Strong analytical skills: you nerd out about data, can quickly structure analyses to answer key business questions to drive decision-making, and will also have perspectives on building the right data architecture.
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Build and maintain 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.
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You help to drive conformance to the WI-HCG data strategy and Enterprise Data Taxonomy. As a Principal Data Modeler supporting Workplace Investments (WI) - Healthcare Group (HCG), you blend deep data modeling knowledge and Data Architecture experience to build Data Models for multiple key initiatives.
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The job requires a deep understanding of technology and the landscape regarding tools/services, architectural design and key players such as, but not limited to, Adobe Experience Manager, Salesforce, Movable ink, Data Architecture platform (AWS, Azure), Snowflake, Pega, etc.
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