Job summary
Job post source
This job is directly from University of Michigan
Job overview
The Data Manager Senior at University of Michigan's School of Information manages data systems and supports the Office of Academic and Student Affairs to improve workflows and automation.
Responsibilities and impact
The role involves managing multiple data systems, collaborating with academic and service teams to gather requirements, designing and implementing student service systems, and providing end-user support.
Compensation and benefits
The salary range is $85,000 to $95,000 with benefits including generous time off, retirement plan with matching contributions, health, dental, vision insurance, life insurance, disability coverage, flexible spending accounts, and tuition support.
Experience and skills
Requires a bachelor's degree with 4+ years professional experience, 5+ years in data interpretation, reporting, and interdisciplinary teams, proficiency in Python, SQL, Jira, and strong skills in translating business and technical requirements.
Work environment and culture
The position is in a hybrid work mode with 4 days onsite and 1 day remote, emphasizing punctuality, collaboration, and agile development processes in a progressive academic environment.
Company information
University of Michigan's School of Information is a leading interdisciplinary professional school focused on technology and human-computer interaction, delivering innovative and ethical solutions.
Team overview
The candidate will work with the Office of Academic and Student Affairs team and UMSI IT unit, collaborating closely with technical and academic staff.
Job location and travel
The job is located in the Leinweber Computer Science and Information Building at University of Michigan with some travel on and off campus required.
Application process
Applicants must submit a cover letter addressing job requirements and resume; questions can be directed to UMSI Human Resources via email; background checks are conducted after contingent offer acceptance.
Unique job features
The role offers unique opportunities to work on integrating multiple data sources, automating reports, and supporting innovative student service systems within an academic setting.
Company overview
The University of Michigan is a renowned public research university located in Ann Arbor, Michigan. Established in 1817, it offers a wide range of undergraduate, graduate, and professional programs across various disciplines. The university generates revenue through tuition fees, research grants, public funding, and donations. Known for its strong emphasis on research and innovation, it has a rich history of academic excellence and is consistently ranked among the top universities globally.
How to land this job
Tailor your resume to highlight your experience managing complex data systems, especially in academic or interdisciplinary environments, emphasizing your ability to design and implement student service systems and automate reporting processes.
Focus on showcasing your proficiency with Python scripting, SQL, Jira, and Agile methodologies, as these technical skills are critical for the Data Manager Senior role at UMSI.
Apply through the University of Michigan's official career portal, UMSI's IT unit page, and LinkedIn to maximize your application visibility and ensure you meet all submission requirements, including attaching a cover letter as the first page of your resume.
Connect on LinkedIn with current UMSI IT staff and members of the Office of Academic and Student Affairs, using ice breakers like commenting on recent UMSI projects, asking about their experience with Agile development, or inquiring how they integrate data systems to support academic services.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data management,' 'Python scripting,' 'SQL,' 'Agile,' 'Jira,' 'student service systems,' and 'report automation' to pass initial screenings effectively.
Use Jennie Johnson's Power Apply feature to automate the tailoring of your application materials, identify multiple application channels, and find relevant LinkedIn connections, allowing you to focus your time on preparing for interviews and networking effectively.
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