AI-Driven Tech Solutions Analyst

Pearson; Des Moines (IA); 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 partner with Product, Engineering, Data, QA, and Operations to translate needs into actionable requirements and ensure traceability.

You will manage ambiguity, maintain a single source of truth, and contribute to backlog refinement, data alignment, and readiness for delivery across Pearson applications.

Qualifications

• Bachelor’s degree in Business, Information Systems, Computer Science, Technology, Data Analytics, or related field, or equivalent practical experience.
• Typically 2-3 years of business analysis, business systems analysis, product analysis, systems analysis, data analysis, or technology delivery experience.
• Experience with Agile delivery, SDLC, Jira/Azure DevOps, Confluence/SharePoint, process mapping, and requirements lifecycle management.
• Experience with enterprise systems, integrations, APIs, reporting, SQL/data analysis, or operational workflow analysis preferred.
• IIBA certification, Agile certification, Certification/licensure from a Pearson Professional Assessment partner, IT-related badges, and/or test assessments experience preferred but not required.

Responsibilities

• Lead requirements elicitation for assigned initiatives, enhancements, operational improvements, and system changes.
• Translate business needs into functional requirements, non-functional requirements, user stories, acceptance criteria, process flows, data mappings, and system behavior documentation.
• Use approved AI tools to accelerate requirement drafting, stakeholder synthesis, user story refinement, gap analysis, and process documentation.
• Use AI-supported data analysis to identify trends, anomalies, candidate/client workflow pain points, operational bottlenecks, or reporting insights.
• Analyze current-state processes and recommend future-state improvements that improve efficiency, candidate/client experience, operational quality, scalability, or data consistency.
• Evaluate system impacts across Pearson applications, integrations, APIs, data stores, reporting tools, and downstream business processes.
• Decompose approved requirements into backlog items, user stories, and technical tickets in collaboration with Product, Engineering, Architecture, CX, Data, Security, QA, Operations, and business stakeholders.
• Facilitate or actively contribute to backlog refinement, data alignment sessions, demos, and stakeholder requirement reviews.
• Maintain documentation as a single source of truth, including product/process documentation, API or endpoint notes, data mapping, meeting decisions, assumptions, and open questions.
• Communicate scope, risks, dependencies, trade-offs, and requirement decisions clearly to business and technology stakeholders.
• Identify opportunities for process automation, workflow standardization, manual-effort reduction, and improved reporting.
• Support validation readiness by ensuring requirements and acceptance criteria are clear; QA and business partners remain responsible for primary test execution and UAT.
• Identify processes for automation or AI-enabled improvement, especially repetitive documentation, routing, summarization, or workflow activities.

Skills

Requirements elicitation

Translate business requirements

Agile/SDLC familiarity

Data analysis & reporting

Stakeholder facilitation

Education

Bachelor's degree in Business, Information Systems, Computer Science, Technology, Data Analytics, 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 partner with Product, Engineering, Data, QA, and Operations to translate needs into actionable requirements and ensure traceability.

You will manage ambiguity, maintain a single source of truth, and contribute to backlog refinement, data alignment, and readiness for delivery across Pearson applications.