Senior AI-Driven Tech Solutions Analyst

Pearson

Boston (MA)

Remote

USD 110,000 - 120,000

Full time

43 hours ago
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Job summary

Pearson Advanced Specialist leads complex cross-system analysis and translates business needs into scalable technology solutions across product, engineering, and data teams. This senior role mentors peers, shapes analysis standards, and drives alignment among stakeholders while optimizing processes and reducing technical debt.

Remote within the United States, the role focuses on AI-assisted analysis, requirements strategy, and delivery-ready artifacts, with opportunities to influence Pearson VUE

Qualifications

  • 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.
  • Demonstrated 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.
  • IIBA certification, Agile certification, Certification/licensure from a Pearson Professional Assessment partner, IT-related badges, and/or test assessments experience strongly preferred but not required.

Responsibilities

  • 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 complex 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 for complex or ambiguous work.
  • Drive alignment between Product, Engineering, Architecture, CX, Data, Security, QA, Operations, and business stakeholders.
  • Promote maintainable, reusable, and holistic solutions that reduce unnecessary customization, minimize technical debt, and support company standards.
  • Define and improve templates, practices, examples, and quality expectations for requirements, user stories, process flows, data mapping, and stakeholder documentation.
  • Develop reusable AI prompts, checklists, and templates that improve BSA productivity and consistency.
  • Provide advanced data analysis and insight generation to support business decisions, prioritization, operational improvements, and reporting requirements.
  • Mentor peers through artifact review, facilitation support, domain coaching, and feedback.
  • Support release and operational readiness by ensuring requirements decisions, dependencies, signoffs, documentation, and handoffs are complete; testing execution remains owned by QA/business partners.
  • Identify AI-enabled process improvement and automation opportunities across Pearson VUE workflows, documentation practices, routing, analysis, and reporting.

Skills

Advanced requirements leadership
Stakeholder influence
Systems thinking
Agile / SDLC
Executive-ready summarization
Data analysis & dashboards
Mentoring / coaching
AI fluency

Education

Bachelor's degree or equivalent
IIBA/Agile certification preferred

Job description

Pearson Advanced Specialist leads complex cross-system analysis and translates business needs into scalable technology solutions across product, engineering, and data teams. This senior role mentors peers, shapes analysis standards, and drives alignment among stakeholders while optimizing processes and reducing technical debt.

Remote within the United States, the role focuses on AI-assisted analysis, requirements strategy, and delivery-ready artifacts, with opportunities to influence Pearson VUE

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