Assessment Data Domain Manager

Assessment Data Domain Manager

The Des Moines University College of Osteopathic Medicine is seeking a detail-oriented and collaborative Assessment Data Domain Manager to play a key role in advancing our commitment to excellence in medical education.

• Data Management
• Serve as a central point of contact for program-level data domain management for assessment data and learning analytics.
• Develop and implement best practices for data management and governance, including maintenance of a COM data codebook and quality-control protocols across assessment systems.
• Partner with campus offices to define requirements for data origination, workflow design, and maintenance of accurate, complete, and well-documented data assets.
• Design quality improvement and operational processes for data extraction, data validation, data cleaning, data harmonization, and exception handling.
• Deliver education and training on data domain concepts, standards, guidelines, and processes.
• Data Analysis
• Collect, code and manage assessment data to support program processes by defining data attributes, relationships, and rules.
• Analyze and interpret assessment data to identify longitudinal trends and cross-sectional patterns related to student learning and program outcomes using analytic tools (e.g., Python, Power
  
  BI).
• Review assessment data projects for accuracy and completeness according to program, institution, and accreditation guidelines.
• Create data visualizations and draft reports for key stakeholders.

• Master’s degree with a minimum of three years’ experience working as an assessment data analyst, or equivalent education and experience.
• Two to three years (or more) experience in an educational environment, with preference for competency-based data experience.
• Proficiency in data management, including governance, quality, metadata, and master data management.
• Excellent skills in data collection, reconciliation, analysis, and reporting.
• Experience with database development and statistical software; proficiency in data visualization tools (e.g., Power
  
  BI, Tableau) and coding languages (e.g., SQL, Python).

Our employees are what make DMU special, so we treat them well! Qualified faculty and staff enjoy a generous employer contribution towards the medical plan, 10% retirement match, flexible work arrangements, community service time, tuition assistance, professional development funding, and access to wellness facilities with programs that promote a well-balanced lifestyle. Visit (Use the "Apply for this Job" box below). to learn more about our benefits.

Salary range is between $75,000 - $80,000 depending on experience.

Founded in 1898, Des Moines University is a premier medical and health sciences institution comprising three colleges – College of Osteopathic Medicine, College of Podiatric Medicine and Surgery, and College of Health Sciences – offering ten graduate degree programs. Our mission is to improve lives in our global community by educating diverse groups of highly competent and compassionate health professionals.

It is an exciting time to join DMU. In 2023, we relocated our primary academic and operational offices to a new 88-acre campus in West Des Moines, Iowa, while maintaining an active clinic on our former campus. This state-of-the-art campus includes technology-rich, flexible education spaces that support innovative teaching methods and connect faculty and students across all of our programs. Our new research facilities include a vibrant and spacious open laboratory, designed to foster collaboration and innovation.

Resume, cover letter, and contact information for three professional references required at time of online submission. Apply .edu/employment.

Department: College of Osteopathic Medicine
Status: Exempt

Des Moines University is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, national origin, ethnicity, creed, religion, age, disability, sex, gender identity, sexual orientation, pregnancy, veteran status, genetic information and other characteristics protected by law (“protected class”). Applications from candidates from underrepresented groups are encouraged to apply.