Role Summary
The Technology Solutions Advanced Specialist leads complex, cross-system
analysis for Pearson Professional Assessment (PPA) product, platform,
operational, integration, and data initiatives. This role serves as a senior
business analyst and domain expert, helping shape solution direction, resolve
ambiguity, align stakeholders, mentor peers, and improve analysis standards
across teams.
The Advanced Specialist works across Product, Engineering, Architecture, Data,
Security, Operations, Client Services, and leadership stakeholders to ensure PPA
business needs are translated into scalable, maintainable, reusable, and
operationally sound technology solutions.
Key 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.
Required Skills and Competencies
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 for
work.
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.
Location & Working Pattern
United States. Remote within the United States. Any state restrictions or travel
expectations will be shared during the recruitment process.
Compensation
Compensation at Pearson is influenced by factors including skill set,
experience, and location. The full-time salary range for this role is $110,000 –
$120,000.
This position is eligible to participate in Pearson’s sales incentive plan.
Information on benefits can be found here. [https://pearsonbenefitsglobal.com/]
Applications will be accepted through November 9, 2026. This window may be
extended depending on business needs.
Why Join Pearson?
This is an opportunity to develop engineering talent, strengthen delivery and
quality practices, and help teams adopt emerging AI-assisted ways of working
across technology that supports assessment experiences at scale.