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Lead, Product Management
Pearson VUEPearson product leader shaping global English-language learning courseware portfolios. Driving strategy, digital and AI transition, commercial growth, and a 15-person global team.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management, portfolio leadership, and strategic decision-making, with a focus on AI-enabled learning solutions and customer-centric product development. Proven ability to lead cross-functional teams and drive commercial outcomes through data-driven insights and market understanding.
Highest-signal resume keywords
Product ManagementPortfolio LeadershipAI-Enabled Product DevelopmentData-Driven Decision-MakingCross-Functional Team Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyPortfolio ManagementRoadmap DevelopmentCustomer DiscoveryInvestment Decision-MakingPricing StrategyPerformance ManagementMarket AnalysisAI ApplicationLearning Science
Soft Skills
Strategic AcumenJudgementCollaborationInnovationAccountability
Industry Keywords
EdTechCoursewareEducationPublishingLearning Products
About the role
Key responsibilities & impact- Define and execute the global strategy and roadmap for institutional courseware
- Manage portfolio investments, prioritisation, localisation, innovation, and product lifecycle decisions
- Act as the senior product authority and provide strategic recommendations to the ELL Leadership Team
- Build understanding of learners, educators, institutions, ministries, and partners across priority markets
- Use customer insight, market trends, learning evidence, and performance data to drive product and investment decisions
- Support strategic customer and ministry engagements alongside Sales teams
- Translate strategy into value propositions, product roadmaps, and requirements
- Lead cross-functional teams to deliver learning solutions balancing customer value, learning effectiveness, quality, speed, and commercial outcomes
- Validate opportunities through customer research, pilots, and data-driven decision-making
- Drive the evolution from print-first products to digital, blended, and AI-enabled learning experiences
- Identify and scale responsible AI opportunities
- Ensure AI-enabled products meet standards for transparency, safety, privacy, accessibility, and intellectual property compliance
- Develop business cases, pricing strategies, and investment recommendations
- Partner with Sales, Finance, and Revenue Operations to achieve customer, learning, revenue, profitability, and ROI objectives
- Optimise, reposition, or retire underperforming products
- Establish and monitor learning, adoption, engagement, satisfaction, retention, revenue, and profitability metrics
- Lead and develop a global team of approximately 15 product professionals
- Foster excellence in product management, customer discovery, strategy, commercial thinking, and AI-enabled product development
- Build a culture of accountability, collaboration, innovation, and customer focus
Requirements
What you’ll need- Relevant experience in product management, portfolio leadership, general management, or a related field
- Experience leading multiple teams or managing managers
- Proven success setting strategy and making investment choices across complex product, market, or customer portfolios
- Track record of turning customer insight into differentiated products and successful commercial outcomes
- Experience owning business cases and managing performance against revenue, profitability, customer, and return expectations
- Strong judgement in investment, prioritisation, pricing, packaging, and portfolio rationalisation
- Experience leading cross-functional product development in a global, matrixed organisation
- Experience building product teams and developing product leaders
- Education, publishing, courseware, EdTech, or learning-products experience strongly preferred
- Experience applying AI, data, or emerging technology to products preferred
- No specific degree is required; relevant experience and demonstrated outcomes are valued
- Strong commercial and strategic acumen
- Expertise in product strategy, portfolio management, customer discovery, roadmap development, and stakeholder engagement
- Data- and evidence-led decision-making using customer insight, learning science, analytics, and sound judgement
- Experience leading global teams and influencing senior stakeholders
- Practical understanding of AI and machine learning concepts, including prompt engineering and applying AI to products, workflows, and decision-making
- Hands-on model development expertise is not required
Benefits
Comp & perks- Full-time hybrid work arrangement
- Regular collaboration from a local Pearson office