The Data Manager role at Indiana University School of Medicine focuses on providing core data management services for the interdisciplinary research team led by Dr. Sarah Wiehe. This position is integral to the Division of Children's Health Services Research, which is recognized nationally for its innovative research aimed at improving the health and healthcare of children, adolescents, and young adults. The division has been operational since 2001 and has developed a strong portfolio of extramurally funded initiatives that investigate social determinants of health, healthcare utilization, and health equity in Indiana. The Data Manager will be responsible for developing, managing, and maintaining relational databases that encompass various existing data sources. This includes producing extensive coding for queries to assess data quality, conducting chart reviews to validate procedures and findings, and writing code to clean data, define variables, and perform analyses. In addition to database management, the Data Manager will prepare and execute procedures to link disparate datasets using unique identifiers, ensuring the accuracy and validity of these processes. Meticulous documentation of all procedures related to data management, including acquisition, cleaning, linking, and analysis, is essential. The role also involves tracking project status and providing updates during team meetings, processing analysis results for presentation, and assisting in manuscript writing as time permits. The Data Manager will work closely with the principal investigator and her team to meet grant deadlines and will collaborate with the server team to maintain a secure computing environment with appropriate data access permissions. General responsibilities include performing experienced analysis of existing data structures, creating reporting specifications for new reports and dashboards, and consulting with faculty and staff to identify new reporting needs. The Data Manager will also document data analysis efforts, perform data migration and conversion as needed, and stay updated on emerging technologies to enhance data analysis services.