Advanced Specialist, Technology Solutions

Pearson; Honolulu (HI); Remote; USD 110.000 - 120.000; Vollzeit

Zusammenfassung

Pearson is seeking a Technology Solutions Advanced Specialist to lead complex, cross-system analysis for PPA initiatives. You will translate business needs into scalable tech solutions, mentor peers, and drive best practice across Product, Engineering, Data, and Operations.

This remote US role partners with stakeholders nationwide to shape requirements, enable AI-assisted analysis, ensure delivery readiness, and reduce technical debt while maintaining high quality across Pearson VUE workflows.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 5+ years of business analysis or related technology delivery experience.
• Experience leading complex cross-functional initiatives in Agile/hybrid environments.
• Experience with systems integration, APIs, data flows, and reporting.

Aufgaben

• Lead end-to-end analysis for complex initiatives across multiple Pearson systems and teams.
• Use AI-assisted analysis for requirement synthesis, gap detection, and stakeholder alignment.
• Facilitate discovery workshops and cross-functional requirement reviews.
• Translate business objectives into product/system capabilities and data requirements.

Kenntnisse

Advanced requirements leadership

Systems thinking

Ambiguity resolution

Executive communication

Data analysis

Mentoring/coaching

Agile / SDLC

Stakeholder management

AI use cases

Ausbildung

Bachelor’s degree in Business, Information Systems, CS, Tech, Data Analytics or related field

Tools

APIs

Data modeling

AI prompts/templates

Jobbeschreibung

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. 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.

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

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