Senior AI-Driven Technology Solutions Analyst (Remote)

Pearson; Pierre (SD); Remote; USD 110,000 - 120,000; Full time

Job summary

Pearson is seeking an Advanced Specialist to lead complex, cross-system analysis for PPA initiatives. You will mentor peers, shape solution direction, and promote scalable, reusable designs across product, engineering, data, and operations.

The role focuses on translating business needs into actionable requirements, managing dependencies, and ensuring delivery readiness while reducing technical debt and maintaining standards across teams.

Qualifications

• Bachelor’s degree or equivalent practical experience in a related field.
• 5–8+ years of business 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, and operational workflows.
• IIBA or Agile certification and Pearson partner credentials are preferred but not required.

Responsibilities

• Lead end-to-end analysis for complex initiatives involving multiple systems, data domains, and stakeholder groups.
• Use AI-assisted analysis for requirement synthesis, gap detection, and data insight generation.
• Facilitate discovery workshops, design alignment sessions, and cross-functional requirement reviews.
• Translate strategic business objectives into product/system capabilities, data requirements, and delivery-ready backlog artifacts.
• Own requirements strategy, traceability, risk identification, and impact assessments for complex work.
• Drive alignment between Product, Engineering, Architecture, CX, Data, Security, and Operations.

Skills

Requirements leadership

Systems thinking

Ambiguity resolution

Executive communication

Data analysis

Mentoring peers

Agile / SDLC

AI fluency

Education

Bachelor’s degree in Business/IT or related field

Job description

Pearson is seeking an Advanced Specialist to lead complex, cross-system analysis for PPA initiatives. You will mentor peers, shape solution direction, and promote scalable, reusable designs across product, engineering, data, and operations.

The role focuses on translating business needs into actionable requirements, managing dependencies, and ensuring delivery readiness while reducing technical debt and maintaining standards across teams.