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Data Services already provides a wide array of capabilities for data management and processing, through Big Data Service, Data Catalog, Data Flow, Data Integration Service, and Data Lake. However, the customers must integrate and navigate through these services to implement their use cases such as Lakehouses, AI/ML training, or BI dashboards.
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As the eventual manager of product managers, this role will guide and coach direct reports with a product vision and strategy that will ensure product cohesion, integration, and customer success.
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We lead abroad range of projects - COTS/SaaS application upgrades, replacement and implementation,infrastructure, software development, BI, data access and reporting, cybersecurity, integration, asset and workflow management, permitting, licensing andinspection workflow, geospatial technology, financial/HRIS systems.
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Ensures availability of performance measurement data for review and analysis; evaluates and drives risk management process improvements, efficiencies and workflow enhancements. Provides subject matter expert support in the development of clinical information systems and integration to improve the timely completion of projects.
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AS A PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:Define and execute the product vision for governance capabilities to automate data quality monitoringDefine and evolve the vision and direction for monitoring the quality of AI/ML assets to support new use cases.
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Strong skills in data identification,integration, validation, interpretation, database manipulation, andPrevious experience with Salesforce Previous or current experience withSAP or other equivalent ERP system, SAP Business Objects, Tableau, PowerBI Level of Independence: This position acts under the direction of themid to senior level manager or executive.
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Scheduling seminar dates per RRT’s Master Calendar and Church CalendarInterface with other BGEA Departments (Data Management, Communications, Public Relations) to manage the requests and delivery of promotional projects and new-name integration.
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You will support portfolio management and quantitative analysis by collaborating with senior quantitative analyst to develop and maintain quantitative tools and assisting in the integration of data sources to enhance investment infrastructure.
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Under the general direction of the Information Technology Manager I, Data Solution Services manager, the Information Technology Specialist II (ITS II) will act as the Data Architect and serves as the data architecture expert and technical leadership for CalSTRS business intelligence and data warehousing (BI&DW) solutions, and is responsible for various data architecture, data governance, business support, and hands-on data delivery tasks.
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Performing data Integration using Informatica PowerCenter, Informatica IDQ, and MDM; + Performing data analysis, integration, and validation using Google Cloud Big Query.
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Create vision and strategy across three main areas of focus:Fraud Threat IntelligenceCyber FraudBusiness/Intelligence Data AnalyticsFraud Threat Intelligence Collection, including Open Source, Peer Institutions, Law Enforcement, and Industry ForumsOptimization of Threat Intelligence sources/collectionIntelligence processing and integration into existing fraud prevention strategiesCyber and Intel data modelingCyber Fraud capabilities expansion (ie.
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You understand application and microservice architectures, integration patterns and data engineering aspects using cloud technologies. As part of our Software Engineering team, you'll focus on cloud solution engineering and automation, with a focus on applications and data.
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SAIC's Business Enablement organization is seeking a Contracts Senior Manager to manage contracts/proposals with the Civilian Space team, supporting NASA and NOAA. The position requires knowledge of the government contracts field and will conduct the preparation, negotiation, acceptance, and management of government contracts to provide for proper contract acquisition and fulfillment in accordance with company policies, legal requirements, and customer specifications.
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As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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Including first principles and math based modeling, execution of performance testing, data analysis and system integration characterization for mechanical engineering. You bring depth of engineering knowledge and system integration experience in a multidisciplinary product ecosystem (examples below.
$128,600 - $214,400 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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