Senior Digital Solutions Analyst, AI Programs and Platforms

About the role

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 Northeastern University is seeking a collaborative, innovative, and consultative senior digital solutions analyst to support the activation, diffusion, and ongoing support of AI programs, platforms, and training across the university. Reporting to the deputy CIO and associate vice president, engagement and experience, this role blends business analysis, digital solutions engineering, consulting, and platform/product ownership to drive successful adoption and integration of AI technologies-including Copilot, Claude, and other AI-embedded tools-into administrative and academic workflows. The senior digital solutions analyst will work directly with staff, faculty, and students to understand their needs, design and implement AI-enabled solutions, and provide training and enablement to maximize impact. This role is a bridge between end-users and IT, ensuring that AI solutions are user-centered, effective, and continuously improved. 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 MIMIMUM QUALIFICATIONS Bachelor's degree in Computer Science, Information Technology, Business, or related field; technical certifications in relevant areas (e.g., cloud platforms, business analysis, AI/ML, digital solutions) preferred. Minimum of 5 years of experience in IT business analysis, digital solutions engineering, or product/platform ownership, with at least 1 year focused on AI/ML systems or digital transformation. Demonstrated experience with AI tools and platforms (e.g., Copilot, Claude, Microsoft 365, ServiceNow, Miro, Qualtrics, cloud AI services). Advanced proficiency in requirements gathering, process mapping, solution design, and technical documentation. Experience designing, implementing, and supporting digital solutions for diverse user groups. Strong consulting and stakeholder engagement skills, with the ability to translate business needs into technical specifications. Experience developing and delivering training and enablement programs for technology adoption. Proficiency in monitoring system/platform performance, troubleshooting incidents, and implementing improvements. Familiarity with DevOps, MLOps, or CI/CD principles as applied to AI systems and digital platforms. Excellent communication, collaboration, and customer service skills. Ability to work independently and as part of cross-functional teams. Flexibility to work outside regular hours as needed.