This position is part of a dynamic, energetic and collaborative team that supports the organization in the use of data and information to further OHSU’s mission to strive for excellence in education, research and scholarship, clinical practice and community service. Members of the Business Intelligence and Advanced Analytics (BIAA) team work to apply knowledge and collaborative relationships to facilitate the effective application of BIAA system to analyzing enterprise data for informed decision making throughout the organization. The key responsibilities of the Director, University Analytics position is the support of these efforts through effective leadership that contributes to: 1.) University Analytics team leadership; 2.) enterprise program delivery; and associated 3.) BI and Analytics technology leadership. Each of these key responsibilities will include developing collaborative partnerships with key stake holders and leaders within the organization while also developing diverse and engaged BIAA teams.
The 1.) University Analytics team leadership efforts will continuously align the work of the BIAA university analytics resources with OHSU strategies. This includes effective management of team members through clear and consistent communication of goals, priorities, expectations, and feedback to facilitate professional growth and development of team capabilities. In addition, all BIAA leaders should consistently apply OHSU values to promote diversity, equity and inclusion within the team and in the team’s interactions with peers and business partners.
The 2.) Enterprise program delivery portion of the role includes broad responsibilities for program leadership, direction and oversight necessary to ensure the successful implementation and ongoing support of assigned enterprise strategic initiatives, programs and projects. These efforts will include collaborative partnerships with initiative stakeholders, effective application of project governance and oversight as well as the ability to effectively initiate and lead organizational change.
The 3.) BI and Analytics technology leadership responsibilities are to provide the necessary direction for the implementation and maintenance of the BI infrastructure, resources and process to implement and support the various university analytics reporting services. This includes engaging with business partners to define, implement and maintain enterprise systems, planning for future system needs and promoting the use of these systems to efficiently support business processes.
University Analytics team leadership will continuously align the work of the BIAA university analytics resources with OHSU strategies. This includes effective management of team members through clear and consistent communication of goals, priorities, expectations, and feedback to facilitate professional growth and development of team capabilities. In addition, all BIAA leaders should consistently apply OHSU values to promote diversity, equity and inclusion within the team and in the team’s interactions with peers and business partners. This includes but is not limited to:
The Enterprise program delivery portion of the role includes broad responsibilities for program leadership, direction and oversight necessary to ensure the successful implementation and ongoing support of assigned enterprise strategic initiatives, programs and projects. These efforts will include collaborative partnerships with initiative stakeholders, effective application of project governance and oversight as well as the ability to effectively initiate and lead organizational change. This includes but is not limited to:
BI and Analytics technology leadership responsibilities are to provide the necessary strategy and direction for the implementation and maintenance of the BI infrastructure, resources and process to implement and support the various university analytics reporting services. This includes engaging with business partners to define, implement and maintain enterprise systems, planning for future system needs and promoting the use of these systems to efficiently support business processes. This includes but is not limited to:
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