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Data Governance at NT includes:Data ClassificationMetadata Management and Information ArchitectureData Quality ManagementData & Records ManagementCollaboration and partnerships with Data Privacy, Information Security, Data Analytics, and Model Risk Management.
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Current projects include development using Scala, Python, Apache Spark, SQL Server, Apache Parquet, Microsoft Azure technologies, and Microsoft Azure DevOps. Join us in our effort to create the highest quality financial research data and providing the input for some of the most influential financial research studies.
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The LCRR Regional Lead should have working knowledge of drinking water utility asset management programs, GIS, and applications for data analytics for dashboard development. The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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Our unique tools and services organize, store, and optimize content, including taxonomy, rights and asset management, analytics, and quality assurance. Strong understanding of PCI/PII security and data privacy requirements.
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Assist in the efforts to establish data governance standards, ensure data quality and integrity, and optimize processes for maintaining customer information. Collaborate with cross-functional teams to define data requirements, establish data quality metrics, and implement data management best practices.
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TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.
$140,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our oncology program is the market leader in clinical data management, powered by a tight-knit team of data geniuses, problem solvers, tech enthusiasts, and brilliant quality experts.
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Role is focused on establishing and upholding an enterprise data governance framework, ensuring adherence to data policies, standards, and practices, crucial for maintaining consistency, quality, and safeguarding data to fulfil overall business requirements during the design, implementation and support over the company MTI & LogOps solutions (ex.
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At least 3 years of experience in auditing information security (application security, network security, cyber security, data protection), or cloud computing controls (design, operation, risk management, auditing) or a combination.
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Designs solutions for metadata management, data quality, sensitive data management, and data steward activities. Develops and codes solutions for metadata management, data quality, sensitive data management and data steward activities.
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You will lead the transition to operationalize our data, leading to greater efficiency, higher quality data and better business insights. Shape the approach and processes used for developing efficient, high quality data products by designing an Enterprise Data Model (EDM) that considers the operational needs of Domains within a Data Mesh. Provide subject matter expertise to guide the EDM structure, with recommendations for Domains and Subdomains that balance business and technical needs.
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The Lead Machine Learning Engineer is responsible for ensuring data quality, creation of new data pipelines, optimization and management of existing data pipelines, ingestion and curation of data sources for analytical purposes, and transformations of structured and unstructured data into formats suitable for machine learning and advanced analytics.
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Previous work/project experience in machine learning, artificial intelligence, cognitive science, or data science. Graduation from an accredited college or university with a Bachelor's degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, Economics, Engineering, or Physics, or a directly related field, with five (5) years of project work experience in launching, planning, and executing data science projects, or an equivalent combination of education, training and experience.
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Deploy and manage tools and processes for effective data governance, ensuring high data quality and compliance with relevant standards and regulations. Conduct data analysis to monitor tag performance and data quality, generating reports and recommendations for improvements.
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Service Management:Meet with Data Operations Coordinator (DOC) and/or Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables.
$84,400 - $126,700 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
data quality jobs Title: lead in Chicago, IL
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