Senior Tech Solutions Lead - Remote & AI-Driven Analysis

Pearson; Trenton (NJ); Remote; USD 110,000 - 120,000; Full time

Job summary

Pearson is seeking a Technology Solutions Advanced Specialist to lead cross-system analysis for PPA product, platform, and data initiatives. This senior analyst will shape solution direction, mentor peers, and improve analysis standards across teams.

Role involves collaboration across Product, Engineering, Data, Security, and Operations to deliver scalable, reusable technology solutions while reducing technical debt and ensuring operational readiness. Remote within the United States is supported.

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

Requirements leadership

Systems thinking

Ambiguity resolution

Written communication

Data analysis

Mentoring

Agile methodology

Customer focus

AI fluency

Education

Bachelor's degree or equivalent practical experience

5–8+ years of business analysis experience

Experience leading cross-functional Agile/delivery initiatives

Experience with APIs and data flows

IIBA/Agile certification preferred

Tools

APIs

Data reporting tools

Cross-system integration

Job description

Pearson is seeking a Technology Solutions Advanced Specialist to lead cross-system analysis for PPA product, platform, and data initiatives. This senior analyst will shape solution direction, mentor peers, and improve analysis standards across teams.

Role involves collaboration across Product, Engineering, Data, Security, and Operations to deliver scalable, reusable technology solutions while reducing technical debt and ensuring operational readiness. Remote within the United States is supported.