New opportunity

Digital Solutions Analyst, AI and Digital Enablement

Northeastern University · Boston, United States

About this role

Northeastern University seeks a Digital Solutions Analyst to help staff and operational leaders adopt AI-enabled and enterprise digital tools in day-to-day workflows. Working with consultants, solutions engineers and senior enablement staff, the analyst translates business needs into practical, supportable solutions and helps improve operational efficiency.

Responsibilities

Lead or co-lead discovery discussions, document requirements and identify opportunities for AI-enabled workflows, coaching, templates and process redesign. Deliver role-based demonstrations, office hours and working sessions, while reinforcing university-defined security and compliance guardrails for AI tools.
Analyze and document solutions through process maps, workflow documentation and implementation handoffs. Help configure approved tools and support lightweight automation; plan and execute testing, assist with user acceptance testing and escalate complex design or governance questions.
Create job aids, quick-start guides and other adoption materials; co-facilitate training and workshops, incorporate feedback and keep materials current as tools change.
Triage requests, troubleshoot issues within scope, maintain knowledge articles and support playbooks, and coordinate with technical teams and vendors. Track adoption signals, identify recurring barriers and recommend improvements. Occasional availability outside standard hours is required for urgent operational needs, including security incidents, deployments and system issues.

Minimum qualifications: A bachelor’s degree in Information Technology, Business, Computer Science, Education or a related field, or an equivalent combination of education and experience; two or more years in business analysis, digital solutions support, systems enablement, process redesign, consulting, training delivery, product support or comparable technology-adoption work. Candidates need familiarity with productivity and collaboration platforms such as Microsoft 365, Teams, SharePoint, OneDrive and Forms; exposure to Microsoft Copilot or comparable AI-embedded tools; and proficiency in requirements gathering, process mapping, documentation, problem solving, training support, communication and stakeholder engagement.

The role is hybrid at the Boston main campus, with at least three days per week in the office. Applicants must be authorized to work in the United States; the university cannot sponsor work authorization now or in the future. The expected hiring range is $99,010.00–$143,567.50. Eligible employees receive benefits including medical, vision and dental coverage, paid time off, tuition assistance, retirement and commuting benefits.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Business analysisRequirements gatheringProcess mappingWorkflow redesignSolution documentationMicrosoft 365Microsoft TeamsSharePointOneDriveMicrosoft FormsMicrosoft CopilotWorkflow automationUser acceptance testingTraining deliveryTechnology adoptionStakeholder engagementTechnical troubleshootingCommunication

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Turn operational needs into workflow changes
The role leads or co-leads discovery with leaders and staff, documents requirements, and identifies practical AI-enabled or digital workflow improvements. Prepare to explain how a day-to-day problem becomes a process map and a clear recommendation, whether that is coaching, a template, or redesign.
Deliver supportable solutions
The posting emphasizes out-of-the-box capabilities, maintainability, approved-tool configuration, lightweight automation, testing, and implementation handoffs. Prepare an example of keeping a solution within scope, validating it against requirements, and handing off complex work to technical partners.
Embed university-defined AI guardrails
The analyst must reinforce security and compliance guardrails defined by the university and program leadership, while escalating governance or advanced-design questions. Prepare to describe how you would make a useful workflow recommendation without assuming authority to set AI policy.
Drive adoption through real tasks
Role-based demonstrations, office hours, workshops, job aids, and follow-up are tied to daily workflows rather than tool-only training. Prepare to show how feedback would improve a guide or session and how you would keep materials current when a tool changes.
Use support signals to improve delivery
The role triages requests, documents repeatable support steps, tracks basic adoption signals using program-established approaches, and identifies recurring barriers. Prepare to connect a pattern of user questions or issues to a specific improvement in support content or enablement.

Likely challenges to think through

Local fit versus reusable delivery
A likely challenge is meeting different units’ workflow needs while contributing to consistent, reusable solutions at scale. Prepare to explain how you would distinguish a genuinely different requirement from a common pattern and document any exception for the team.
Useful AI workflows versus governance limits
Staff may want a quick AI-enabled solution, while approved tools, platform constraints, and university-defined guardrails limit what can be implemented. Prepare an approach that checks the workflow against those boundaries, offers an in-scope alternative, and escalates unresolved governance questions.
Planned enablement versus urgent support
The posting combines scheduled adoption work with triage and occasional availability outside standard hours for urgent incidents, deployments, or system issues. A likely difficulty is protecting follow-up work while responding promptly; prepare to describe how you would prioritize, communicate status, and route issues beyond your troubleshooting scope.

Practice your answers

Technical practice

How would you run discovery for an operational workflow that staff want to improve?

What to coverThe posting calls for discovery with leaders and staff and for turning day-to-day challenges into clear requirements. Suggested answer focus: ask who performs each step, where delays occur, what outcome matters, and whether coaching, a template, or workflow redesign would address the need.

How would you document an existing process and a proposed digital workflow?

What to coverThe role maintains process maps, workflow documentation, and solution artifacts for implementation and handoff. Suggested answer focus: show actors, decisions, exceptions, and handoffs, then make the proposed changes and unresolved questions clear to both stakeholders and technical partners.

How would you choose between an existing platform feature and a new configuration?

What to coverThe posting names Microsoft 365 collaboration tools and emphasizes out-of-the-box capabilities, maintainability, and supportability. Suggested answer focus: compare how well approved options meet the requirement, the effort to support them, and whether a gap merits escalation rather than a more complex build.

How would you evaluate a proposed AI-enabled workflow against security and compliance guardrails?

What to coverThe analyst reinforces AI-tool guardrails defined by the university and program leadership; the posting does not specify those rules. Suggested answer focus: confirm the applicable guidance and approved workflow, explain it in practical terms to users, and escalate governance questions rather than inventing an exception.

What would you check before supporting a lightweight workflow automation?

What to coverThe role assists with configuration of approved tools and lightweight automation within a defined scope. Suggested answer focus: verify the workflow requirements, ownership, failure points, and support steps, while weighing the benefit against ongoing maintenance and knowing when a complex build needs a technical handoff.

How would you plan testing and support user acceptance testing for a workflow change?

What to coverThe posting calls for test planning and execution within scope, UAT support, and confirmation that requirements are met. Suggested answer focus: trace tests to documented requirements, include normal and exception paths, capture user feedback and defects, and distinguish fixes within scope from issues to escalate.

What would a useful implementation handoff contain?

What to coverThe analyst coordinates with consultants and solutions engineers and documents solutions for implementation and handoff. Suggested answer focus: provide requirements, process maps, decisions, configuration boundaries, test results, open issues, and the support information needed to maintain the workflow.

How would you design enablement around a staff member's real task rather than a tool tour?

What to coverThe role delivers role-based demonstrations and working sessions and creates job aids and quick-start guides tied to workflows. Suggested answer focus: demonstrate the task end to end, give users a short reference they can reuse, and revise it when feedback or platform changes reveal confusion.

How would you triage a recurring issue after a platform update?

What to coverThe posting includes request triage, troubleshooting within scope, escalation, knowledge articles, and evaluating the user impact of updates. Suggested answer focus: establish the impact and pattern, check repeatable support steps, coordinate deeper investigation when needed, and refresh guidance affected by the change.

How would you tell whether enablement is improving adoption?

What to coverThe role collects feedback and tracks basic adoption signals using approaches established by program leadership. Suggested answer focus: look for recurring questions, workflow barriers, and changes in use alongside participant feedback; propose a targeted improvement without claiming that attendance alone proves adoption.

Behavioural practice

Tell me about a time different stakeholders described the same workflow problem differently.

What to coverSuggested practice: use a real situation to explain how you clarified needs, documented what you learned, and agreed on a practical next step. State the result, including any remaining disagreement or limitation.

Describe a time you helped people adopt a new way of working.

What to coverSuggested practice: give a situation in which you tailored a demonstration, training, or job aid to users' actual tasks. Explain your actions, the feedback you received, and what changed as a result.

Tell me about a time you had to hand off a problem beyond your scope.

What to coverSuggested practice: describe the situation, what you investigated and documented, and how you coordinated with a specialist or another team. Include the result and how you kept the affected users informed.

Describe how you handled an urgent operational issue or an unexpected change in priorities.

What to coverSuggested practice: choose a real example and explain how you assessed impact, prioritized safe action, and involved the right people. Give the result without implying you personally resolved an issue that required escalation.

Tell me about a time feedback led you to revise support or training materials.

What to coverSuggested practice: identify the recurring question or usability gap, the change you made, and how you checked whether it helped. Frame the example as situation, action, and result, noting any follow-up still needed.

Sharpen your knowledge

Topics to prepare

Workflow-focused enablement
The posting emphasizes improving day-to-day workflows rather than teaching tools in isolation. For revision, take a hypothetical staff task and compare when coaching, a template, or process redesign would address the underlying problem.
Supportable solution design
The role favors out-of-the-box capabilities, maintainability, reusable patterns, and escalation of complex builds. For revision, compare two ways to address a hypothetical workflow need and explain which is easier to maintain and when to involve a solutions engineer.
AI security and governance boundaries
The analyst reinforces university-defined AI security and compliance guardrails and escalates governance questions. For revision, rehearse how to pause a proposed AI workflow when its permitted use is unclear, identify the question to resolve, and route it for guidance; do not assume specific university policies.
Enterprise tool and AI-tool fit
The qualifications name Microsoft 365, Teams, SharePoint, OneDrive, Forms, and exposure to Copilot or comparable AI-embedded tools. For revision, consider which named tools might fit a hypothetical collaboration task, and distinguish a plausible use case from a capability or approval that would need verification.
Adoption feedback and release readiness
The role tracks basic adoption signals using program-established approaches, identifies recurring barriers, and refreshes materials when tools change. For revision, turn hypothetical office-hours feedback and a platform update into a short list of user impacts, documentation changes, and questions for follow-up.

Skills to revise

Run discovery and write requirements
Practice a mock conversation with an operational leader: ask about the current task, pain points, users, and desired outcome, then write clear requirements and a recommendation a non-technical stakeholder could review. The posting calls for leading or co-leading discovery and translating needs into actionable recommendations.
Map a process and prepare a handoff
Draw a current-state and proposed workflow for a hypothetical staff request, then produce a brief handoff noting steps, owners, requirements, and unresolved questions. Process maps, workflow documentation, and implementation handoffs are explicit responsibilities.
Scope a lightweight configuration
For a hypothetical approved-tool workflow, outline the settings or lightweight automation to configure, what to validate, and what exceeds the analyst’s scope. The posting includes configuration of approved tools and lightweight automation support, with complex builds handed to technical partners.
Plan and support user acceptance testing
Turn two sample requirements into test cases with expected results, record a defect, and draft a short user acceptance testing checklist. The role plans and executes testing within scope, supports user acceptance testing, and confirms requirements are met.
Deliver a role-based demo and job aid
Prepare a five-minute demonstration around one hypothetical staff task and a one-page quick-start guide; revise both after mock participant feedback. The posting calls for role-based demonstrations, office hours, workshops, job aids, and current adoption materials.
Triage an issue and document repeatable support
Practice classifying a hypothetical user report, recording reproducible steps, trying in-scope troubleshooting, identifying an escalation point, and writing a short knowledge article. The role supports intake, troubleshooting, escalation, and maintenance of support playbooks.

Your preparation checklist

Map your evidence to the minimum qualifications
Prepare a one-page list of examples covering technology-adoption experience, requirements and process mapping, training support, stakeholder communication, Microsoft 365 collaboration tools, and exposure to Copilot or a comparable AI tool. Note the degree or equivalent education-and-experience requirement without assuming a particular background.
Rehearse a workflow project walkthrough
If you have a relevant example, prepare a concise account of the user need, discovery questions, documented requirements, process map, recommendation, stakeholder communication, and outcome. Distinguish your contribution from work done by others.
Sketch a hypothetical solution design
For a staff workflow of your choosing, draft a current-state and proposed-state map, a short requirements list, and a supportable approach using approved, out-of-the-box capabilities where possible. Label it as an interview exercise, not a Northeastern project.
Prepare a testing and handoff sample
Draft a few requirement-linked test cases, a user acceptance testing plan, and brief handoff notes. Identify which configuration or lightweight automation work stays within scope and which platform or governance questions you would escalate.
Build a task-based enablement example
Prepare a short role-based demo outline and a one-page quick-start guide for the hypothetical workflow. Include how an office-hour question or participant feedback would prompt a revision; leave university-defined AI security and compliance guardrails to the appropriate owners.
Outline support and adoption follow-up
Draft a sample intake-to-triage flow with troubleshooting notes, escalation triggers, and a reusable knowledge-article outline. Add basic signals—such as recurring questions and workflow-use feedback—that could inform improvements under program leadership’s measurement approach.
Write targeted questions for the employer
Ask how consultants, engineers, and enablement staff divide discovery and handoffs; how approved AI tools and guardrails are communicated; what adoption signals are tracked; and how occasional after-hours urgent support is coordinated. Confirm expectations for the minimum three on-campus days if needed.

Availability last checked: Nov 4, 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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