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Typically requires Master's degree in related field with 6-8 years experience in management responsibilities Minimum Qualifications (Staff) / Guidelines (Faculty): The incumbent must work closely across the DIA group as well as across the University Information and Technology organization to build and maintain a modern, scalable and resilient data ecosystem. The group functions include: data engineering and integration, Enterprise Data Warehousing, data modeling, BI and analytics reporting, legacy system support, as well as data community support and training and engagement. We are advancing what is possible for data at OSU with our data platform and by leveraging a unique and agile data solutions business analysis, storyboarding and prototyping process which enables us to build sustainable and high value solutions that advance decisions making and OSU's mission. This central unit is responsible for delivering an enterprise-wide analytics and reporting ecosystem with data that is architected, governed, managed, accessible, and secure. The Business Intelligence Architect reports to the Chief Data Officer who leads the Data and Information Architecture ( DIA) group for the university. This position is an integral part of a high-performing and innovative team responsible for the broad university data services, products, and platform. Oversee, monitor, manage and improve the quality and delivery of the BI and Analytics products and services.Ensure and lead the creation and adoption of high-quality documentation, data management practices, design and quality standards, and operational excellence for the BI and Analytics team.Evaluating, experimenting and implementing modern Artificial Intelligence (AI) based data technologies in a cost-effective manner.Lead the transformation of BI and Analytics services relative to the Administrative Modernization Program.Partner with the Office of Information Security and the Data Trustees to ensure the highest levels of security while also providing readily available data in the format that meets the stakeholder needs.Formulate strategies to grow and leverage the OSU data platform to solve complex business issues with sustainable, scalable and thoughtful BI and Analytics products and services.
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