This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified . Job Summary The Division of Information Technology Services (ITS) seeks a strategic Senior IT Project Manager to lead Workday optimization initiatives that align with university priorities. This role requires a proactive leader with strong communication, stakeholder engagement, and execution skills to drive cross-functional collaboration and deliver projects on time and within scope and budget. The ideal candidate is a self-starter with a proven track record in managing ERP-related projects in dynamic environments. They must combine strategic thinking with hands-on leadership, influencing outcomes and ensuring measurable improvements. Experience with Workday or large-scale ERP systems is essential. 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.