Job Details

Senior Digital Solutions Analyst, AI Programs and Platforms

About the Opportunity

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.

KEY RESPONSIBILITIES

AI Program Enablement and Stakeholder Engagement 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.

Platform/Product Ownership 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.

Solution Engineering and Implementation 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.

Training and Diffusion 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.

Continuous Improvement and Research Monitor usage, collect feedback, research new tools and trends, and drive ongoing improvements to AI programs and platforms.

MINIMUM 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.