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failures. Provide troubleshooting, analysis, and recommendations for corrective action. - Contribute to the research and development of technologies and tools used for system administration. - Assist
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Chancellor for Academic Affairs and Student Success. The Associate Vice Chancellor of Academic Strategy and Analytics will have responsibility for designing data analytics tools that inform the development
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for identifying, implementing, and scaling innovative digital technologies' including emerging AI solutions' to enhance teaching, research, operations, and student success. Develops and manages program and
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the University System of Georgia. Work with other financial reporting professionals on an enterprise level to prepare the financial statements and footnotes of the Annual Comprehensive Financial Report (ACFR
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recommendations for executive leadership regarding financial management policies and procedures. o Calculates, monitors and plans the development and utilization of reserves. o Manages charts of accounts. o
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addition to expert-level ongoing user support, this position is also the primary project lead for new acquisitions implementations and rollouts. This includes developing and delivering all training materials, creating
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develop long term strategies to meet the technology needs of their staff and patrons. This includes multi year tech plan development and identifying new, scalable IT solutions to be implemented statewide
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for the USG in all areas of real estate and facilities management, including campus master planning, capital project development, real estate transactions, design and construction, facilities management and
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databases supporting PeopleSoft HCM, Financials, and Augusta Financials applications. Apply PeopleSoft releases, upgrades, patches, and tools updates across development, test, QA, and production environments
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users to resolve issues Serves as subject matter expert for USG data collections and provides functional support Develops and maintains end user documentation, training materials as well as the Data