Specialist, Technology Solutions

Pearson•United States,

3d•$90,000 - $100,000

About The Position

The Technology Solutions Specialist independently owns business analysis for moderate Pearson Professional Assessments (PPA) system enhancements, product improvements, integrations, operational changes, and reporting/data initiatives. The role partners with Product, Engineering, Architecture, Data, QA, Client Services, Operations, and business stakeholders to understand business needs, define functional and non-functional requirements, document workflows, analyze dependencies, and support delivery readiness. The Specialist manages ambiguity within an assigned product or system area and ensures requirements are clear, actionable, traceable, and aligned to PPA business outcomes.

Requirements

Strong requirements elicitation, analysis, documentation, and management skills.
Ability to translate business language into clear system requirements and technical implementation context.
Working knowledge of system integrations, APIs, data mappings, data validation, and reporting needs.
Strong analytical, critical-thinking, and problem-solving skills.
Ability to facilitate stakeholder conversations and manage competing priorities.
Clear communication with technical and non-technical audiences.
Ability to work independently within assigned scope and escalate risks appropriately.
Familiarity with Agile ceremonies, backlog refinement, sprint planning, demos, and release readiness.
Practical understanding of information security, data privacy, and operational controls.
Bachelor’s degree in Business, Information Systems, Computer Science, Technology, Data Analytics, or a 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.

Nice To Haves

Experience with enterprise systems, integrations, APIs, reporting, SQL/data analysis, or operational workflow analysis.
IIBA certification, Agile certification, certification/licensure from a Pearson Professional Assessment partner, IT-related badges, and/or test assessments experience.

Responsibilities

Lead requirements elicitation for assigned initiatives, enhancements, operational improvements, and system changes.
Translate business needs into functional and 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 to 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.