Sr Digital Solutions Analyst, AI Programs & Platforms

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.

Responsibilities

• Lead requirements gathering, solutioning, and stakeholder engagement and alignment for AI initiatives.
  • Engage with staff, faculty, and students to understand needs, demo AI tools, facilitate solutions, and drive adoption.
• Help drive and execute the lifecycle of AI platforms and digital solutions, including roadmap, enhancements, user support, and change management.
  • Ensure platforms meet evolving university needs.
• Independently and in conjunction with other AI and digital solutions team members, plan for, configure, and deploy AI-enabled solutions.
  • Document solutions and support users for effective adoption.
• Independently and in conjunction with other digital solutions and training team members, develop and deliver training, documentation, and enablement programs to support AI activation and diffusion across the university.
• Monitor usage, collect feedback, research new tools and trends, and drive ongoing improvements to AI programs and platforms.

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.
• Able to work independently and as part of cross-functional teams.
• Flexibility to work outside regular hours as needed.