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Accountable to executive the data quality issue management processes and partner across BUs / CFs and engineering teams to solution remediation plans and partner to execute those remediation plans.
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Produces loan level reporting, administers and monitors loan portfolio tasks, centralizes and enhances data governance including building out and maintenance of data integrity framework and quality assurance.
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Experience in data center, high-end, high-rise, commercial and industrial construction projects. Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations.
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Ensure data quality and consistency across all geospatial datasets. Demonstrate commitment to data quality and consistency. Implement best practices for data governance and security in geospatial data management.
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Provide guidance in implementation of the Project Quality Assurance/Quality Control (QA/QC) program. This position is for a full time traveling assignment supporting an Advanced Technology project, which includes our Data Center, Pharmaceutical, Industrial/Manufacturing, and EV/Battery/Renewables market segment groups (MSG.
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In your activities, you will focus on GMP Investigations and CAPA’s, change management, batch release and batch record reviews, site Quality audits and data integrity audits to support PETNET’s Quality oversight functions.
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Implement and enforce data governance policies to ensure data quality, security, and compliance with regulatory requirements. Inviting applications for the role of Principal Consultant, Data Modeler.
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Proven knowledge of data governance and data quality tools. Meta’s Environmental, Social, Governance (ESG) team oversees responsible business strategy, governance, cross-functional engagement and reporting at Meta. The ESG Data Specialist will be responsible for working cross functionally to identify ESG data needs, ensuring data governance protocols are introduced and adhered to, and facilitating ESG metrics and indicators reporting while coordinating across multiple work streams.
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Medical terminology, anatomy and physiology, familiarity with medical record content and an understanding of the Uniform Hospital Discharge Data Set (UHDDS) definitions. Experience in a Health Information Management in an acute care facility, or with a Peer Review Organization, in Quality Assurance, or Utilization Review preferred.
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Project Executive Atlanta - Data Center Construction Specialist. Executive Oversight -Your executive insight into orchestrating large-scale operations ensures smooth sailing on all fronts, administrative efficiency paired perfectly alongside quality craftsmanship.
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Assure Regional Field Coordinators require team members to implement a Quality Plan for their project utilizing Procore Action Plan templates and execute the associated quality assurance (before the work starts) and quality control (after the work starts) activities.
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Responsibilities: Lead the development and build out of cloud data management solutions to support the Enterprise Data Platform (data pipelines, metadata, data catalog, reference data, and data quality)Reviews business context for data solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution.
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Data Management: Oversee data analysis and cleanup activities, ensuring data quality and accuracy during migration. Demonstrated expertise in data analysis and data migration strategies.
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Monitors data collection, institutes procedures to assure data quality and guarantees study protocols are followed appropriately. Develops and analyzes a variety of research data using statistical methods.
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Supply Chain Management and Data Analytics (Predictive Modeling, Reporting, Dashboard creation) Quality and Reliability Engineering including Reliability Analysis, Measurement Analysis, PDSA, FMEA, and Root Cause Analysis.
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