Senior Systems Analyst, Workday Data Modeling & Configuration

About the role

Job Summary The Workday System Analyst, Data Modeling & Configuration is responsible to maintain and optimize Workday foundational data structures (supervisory orgs, job catalog, positions, cost centers, academic/administrative hierarchies). Conduct regular data audits, resolve inconsistencies, and ensure alignment across HR, Finance, and other institutional systems. Configure and maintain Workday business processes, calculated fields, condition rules and support data mappings and crosswalks. Follow established IT change control procedures, maintain documentation, ensure consistent data definitions and support testing cycles. 24/7 business continuity: This role requires availability outside of traditional working hours on a rotating basis to ensure continuous operation of critical AI systems and platforms. Responsibilities include monitoring system health, responding to alerts, troubleshooting performance issues, and implementing emergency fixes as needed. The ideal candidate must be able to quickly diagnose and resolve AI system and platform incidents, prioritize issues based on business impact, and coordinate with technical teams to restore service. A strong commitment to system reliability and service continuity is essential for success in this position. Other duties as required: This role requires flexibility in performing duties outside of the primary responsibilities to support the evolving AI ecosystem at the university. The ideal candidate must be adaptable and willing to take on additional tasks or projects as required, ensuring consistent and reliable AI and platform operations. This may include assisting with knowledge management, documentation updates, user training, data preparation, or special projects related to AI system improvements. A problem-solving mindset and willingness to tackle emerging challenges are essential for thriving in this dynamic environment. Hybrid work schedule: This role is hybrid and in the office a minimum of three days a week in Boston to facilitate collaboration with both technical teams and operations staff. In-office presence enables effective coordination with support teams, direct access to infrastructure, and hands-on troubleshooting of AI systems and platforms. Physical presence is particularly important for incident response, change management activities, and cross-functional problem-solving sessions that benefit from in-person collaboration and real-time communication. *Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future.