Technology Solutions Lead - AI-Driven Improvements

Pearson; Springfield (IL); On-site; USD 90,000 - 100,000; Full time

Job summary

Pearson is seeking a Technology Solutions Specialist to own business analysis for PPA system enhancements, product improvements, integrations, and reporting initiatives. You will work with Product, Engineering, Data, QA, Client Services, and Operations to understand needs, document requirements, and support delivery readiness.

The role requires managing ambiguity, ensuring clear and actionable specs, and aligning requirements to Pearson business outcomes across applications and data processes.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2–3 years of business analysis or related delivery experience.
• Experience with Agile delivery, SDLC, Jira/Azure DevOps, Confluence/SharePoint, process mapping, requirements lifecycle management.

Responsibilities

• Lead requirements elicitation for initiatives, enhancements, and system changes.
• Translate business needs into functional and non-functional requirements, user stories, and acceptance criteria.
• Use approved AI tools to accelerate requirement drafting and stakeholder synthesis.
• Perform AI-assisted data analysis to identify trends, bottlenecks, and insights.
• Decompose requirements into backlog items and technical tickets with cross-functional teams.
• Maintain single-source documentation including API notes, data mappings, and decisions.

Skills

Requirements elicitation

Documentation

Agile delivery

Systems analysis

Stakeholder facilitation

Education

Bachelor’s degree in Business, Information Systems, CS, or related field

Tools

Jira/Azure DevOps

Confluence/SharePoint

Job description

Pearson is seeking a Technology Solutions Specialist to own business analysis for PPA system enhancements, product improvements, integrations, and reporting initiatives. You will work with Product, Engineering, Data, QA, Client Services, and Operations to understand needs, document requirements, and support delivery readiness.

The role requires managing ambiguity, ensuring clear and actionable specs, and aligning requirements to Pearson business outcomes across applications and data processes.