Key Responsibilities:Understand and document business and data requirements across clinical domains and translate them into actionable technical tasksManage and maintain Jira boards for the Data Engineering team: groom stories, track progress, and coordinate with developers, QA, and stakeholdersAct as a liaison between product, engineering, and external stakeholders to clarify requirements and ensure alignment across teamsDrive the creation and maintenance of data entity mapping documentation between legacy systems and Medidata CTMSCollaborate with engineering leads to support ETL and data pipeline validation, including defining edge cases and expected behaviorsSupport UAT efforts for data integration/migration projects by coordinating validation cycles with clinical users and data stakeholdersIdentify risks, gaps, or inconsistencies in incoming data requirements and proactively resolve themParticipate in data migration planning and execution experience with previous system-to-system migrations is a strong plusRequired Qualifications:Minimum of 6 years of experience as a Business Analyst or Technical BA in the clinical trials or life sciences domainStrong understanding of clinical data and clinical workflowsExperience with Jira, Confluence, and Agile/Scrum delivery modelsFamiliarity with data models, data structures, and relational data concepts (SQL knowledge is a plus)Strong written and verbal communication skills with the ability to simplify complex topics for non-technical stakeholdersAbility to manage multiple workstreams and keep deliverables on trackProven ability to create clear, structured documentation (e.g., data dictionaries, mappings, process flows)Preferred Qualifications:Experience with clinical data migrations (e.g from Veeva, Oracle, or other CTMS systems to other systems)Understanding of ETL pipelines or working experience with data engineering teamsKnowledge of CTMS, eTMF, EDC/Rave, or other clinical trial technologies