Advanced Specialist, Technology Solutions

Pearson VUE

. Lead end-to-end analysis for complex initiatives involving multiple Pearson systems, workflows, data domains, integrations, teams, or stakeholder groups .

Posted 10/10/2026full-timeRemote • United StatesMid-LevelSenior💰 $110,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading complex cross-functional initiatives, utilizing advanced data analysis and AI-assisted techniques to drive business insights and operational improvements. Proficient in requirements strategy, stakeholder alignment, and Agile methodologies to ensure successful project delivery.

Highest-signal resume keywords

Business AnalysisData AnalysisAgile MethodologiesRequirements LeadershipSystems Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MappingProcess FlowRequirements StrategyDependency AnalysisImpact AssessmentOperational WorkflowsAI-Assisted AnalysisReportingBacklog ManagementStakeholder Documentation

Soft Skills

FacilitationMentoringWritten CommunicationStakeholder InfluenceProblem Solving

Tools & Technologies

APIsData FlowsAI ToolsDocumentation StandardsOperational Readiness

Certifications & Qualifications

IIBA CertificationAgile CertificationPearson Professional Assessment Certification

Industry Keywords

Business Systems AnalysisTechnology DeliveryCross-Functional InitiativesSDLCProduct Delivery

Tech Stack

Tools & technologies

SDLCVue.js

About the role

Key responsibilities & impact

Lead end-to-end analysis for complex initiatives involving multiple Pearson systems, workflows, data domains, integrations, teams, or stakeholder groups
Use AI-assisted analysis for requirement synthesis, gap detection, stakeholder alignment, process comparison, dependency identification, and data insight generation
Facilitate discovery workshops, decision forums, design alignment sessions, and cross-functional requirement reviews
Translate strategic business objectives into product/system capabilities, process models, integration requirements, data requirements, operational impacts, and delivery-ready backlog artifacts
Own requirements strategy, traceability, dependency analysis, impact assessments, and risk identification
Drive alignment among Product, Engineering, Architecture, CX, Data, Security, QA, Operations, and business stakeholders
Promote maintainable, reusable, holistic solutions that reduce unnecessary customization and technical debt
Define and improve requirements, user story, process flow, data mapping, and stakeholder documentation standards
Develop reusable AI prompts, checklists, and templates
Provide advanced data analysis and insights for business decisions, prioritization, operational improvements, and reporting
Mentor peers through artifact review, facilitation support, domain coaching, and feedback
Support release and operational readiness by ensuring decisions, dependencies, signoffs, documentation, and handoffs are complete
Identify AI-enabled process improvement and automation opportunities across Pearson VUE workflows, documentation, routing, analysis, and reporting

Requirements

What you’ll need

Bachelor’s degree in Business, Information Systems, Computer Science, Technology, Data Analytics, or related field, or equivalent practical experience
5–8+ years of business analysis, business systems analysis, systems/product analysis, data analysis, or technology delivery experience
Experience leading complex cross-functional initiatives in Agile, hybrid, or enterprise delivery environments
Experience with systems integration, APIs, data flows, reporting, operational workflows, and platform/process modernization
Advanced requirements leadership, facilitation, and stakeholder influence
Strong systems thinking across business processes, applications, data, integrations, security, operations, and support models
Ability to resolve ambiguity, synthesize complex information, and recommend practical options
Strong written communication, executive-ready summarization, and decision documentation
Advanced data analysis and ability to define actionable reporting, metrics, and dashboard requirements
Ability to mentor, coach, and raise the quality of analysis across teams
Strong understanding of Agile, SDLC, product delivery, backlog management, and release readiness
Ability to balance customer needs, operational constraints, scalability, maintainability, risk, and delivery feasibility
AI fluency and ability to identify practical, governed AI use cases
IIBA certification, Agile certification, Pearson Professional Assessment partner certification/licensure, IT-related badges, and/or test assessments experience strongly preferred but not required

Benefits

Comp & perks

Eligible to participate in Pearson’s sales incentive plan
Benefits information provided by Pearson