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.

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.
• 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.
• 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.

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.

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type 112S Expected Hiring Range $99,010.00 - $143,567.50 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.