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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading enterprise design systems and defining product strategy across multiple business units, with a strong focus on accessibility standards and AI integration. Capable of managing cross-functional teams and ensuring alignment across product, design, and engineering disciplines.
Highest-signal resume keywords
Enterprise Design System LeadershipProduct Strategy DevelopmentCross-Functional Team ManagementWCAG 2.2 Accessibility StandardsAI Integration and Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Reusable ComponentsTheming ArchitectureAdoption ToolingCodemodsToken AuditsAutomated Accessibility ChecksPrompt FrameworksQA ModelsHuman-in-the-Loop ValidationAI Agents
Soft Skills
CoachingAlignment Across Teams
Tools & Technologies
FigmaStorybookDesign-to-Developer Handoff Practices
Industry Keywords
Product DesignPlatform StrategyGovernanceMigration StrategyTelemetry
About the role
Key responsibilities & impact- Own Pearson's enterprise Product Design System, Nebula
- Define enterprise Nebula strategy, vision, and multi-year platform direction
- Lead a Pearson-wide product audit in Q4 2026 to assess product compatibility and migration readiness
- Define the Nebula roadmap across business-unit migrations, Platinum DS integration, and Content/AI readiness
- Own token, component, and theming architecture strategy
- Embed WCAG 2.2 accessibility and usability standards at the component level
- Own enterprise governance, adoption, and migration strategy across business units
- Drive roadmap-committed business-unit migrations and prioritize high-frequency component migration
- Direct adoption telemetry for adoption, reuse rates, avoided rebuilds, accessibility readiness, and rebrand propagation
- Define AI acceleration strategy across the Nebula pipeline, including codemods, token audits, automated accessibility checks, and LLM evaluation
- Establish prompt frameworks, generation guardrails, QA models, and human-in-the-loop validation
- Partner with AI platform, data, and engineering leadership across Pearson
- Own the executive investment narrative and report on payback, adoption, reuse rate, and benefits realization
- Align Product, Engineering, Accessibility, Learning, AI, and Brand leadership on shared standards and sequencing
- Manage and coach the Nebula team across product, design, and engineering disciplines
- Ensure Design → Code → Content → AI pipeline alignment, including Figma/code parity and Storybook as the single source of truth
- Upskill Brand, Product Design, Platform Engineering, and AI teams on scalable ways of working
Requirements
What you’ll need- Experience leading enterprise design systems or comparable product/design technology platforms
- Experience setting enterprise product and platform strategy across multiple business units
- Experience leading cross-functional teams spanning product, design, and engineering
- Knowledge of reusable components, semantic tokens, theming architecture, and adoption tooling
- Knowledge of WCAG 2.2 accessibility and usability standards
- Experience with AI agents, orchestration, automation, codemods, token audits, automated accessibility checks, and LLM evaluation
- Experience establishing prompt frameworks, generation guardrails, QA models, and human-in-the-loop validation
- Ability to align Product, Engineering, Accessibility, Learning, AI, and Brand leadership
- Ability to manage and coach specialized product, design, and engineering teams
- Familiarity with Figma, code parity, Storybook, and designer-to-developer handoff practices