• Define and maintain JOMIS data architecture standards, including data domains, naming conventions, and logical data models • Document end-to-end data flows, including sources, transformations, storage, and downstream use • Design and guide data integration approaches that support operational medicine workflows and reporting needs • Establish and maintain data governance practices focused on quality, consistency, and traceability • Ensure proper handling of sensitive data, including PHI and PII, in coordination with cybersecurity and compliance teams • Define data structures and mappings that support interoperability across JOMIS systems and external partners • Support analytics and reporting use cases by ensuring data is structured, complete, and reliable • Enable future advanced analytics and AI use cases by improving data readiness and availability • Create and maintain architecture artifacts such as data flow diagrams, logical data models, and dependency maps • Partner with product owners, engineers, and other vendor partners to translate operational needs into clear data requirements • Capture and track data integration efforts in Jira across as identified across multiple products