Job Description
Data PM– Job Description
Why Pearson?
Join the world’s leading learning company on a mission to help millions unlock their potential. On our Pearson+ team, data isn’t just numbers—it’s the fuel that powers strategic decisions. Here, your insights will directly shape sales and marketing efforts, roadmap investments, pricing, and channel strategies that drive revenue growth and improve learner outcomes.
Key Responsibilities
1. Data Strategy & Product Lifecycle Ownership
Act as the data PM owner across the full product lifecycle: kickoff, sprint planning, experimentation, release, and post-launch analysis
Partner with analytics teams and maintain single source of truth for KPIs, metric definitions, and event taxonomy
Ensure data readiness for all releases (instrumentation, QA, experiment design, reporting)
Serve as a partner for Product, Marketing, Finance, Engineering, Analytics teams
2. KPI Frameworks, Instrumentation & Data Quality
Design self-service dashboards for real-time KPI monitoring
Partner to define north star metrics, funnels, and leading indicators across acquisition, engagement, and monetization
Own event tracking design (e.g., Mixpanel, clickstream) and ensure consistency across platforms
Define requirements for QA processes to ensure accuracy of dashboards and experiment results, collaborate on ETL and data-quality initiatives.
3. Experimentation & Growth Optimization
Partner with Product to Define and operationalize A/B testing frameworks, including success metrics, segmentation, and guardrails
Analyze experiment results and translate into clear product and business decisions
4. Forecasting, Revenue Modeling & Strategic Insights
Build and maintain financial models to test pricing, bundling, channel mix scenarios, and “what-if” scenarios to recommend adjustments
Evaluate sales metrics, ASP trends, and pricing strategies
Identify growth opportunities through funnel analysis, cohort behavior, and LTV insights. As a result, will Influence roadmap prioritization and growth levers
5. Insights, Storytelling & Senior leadership Influence
Present analyses to senior leadership, ensuring clarity for non-technical audiences
Create with analytics teams executive-ready dashboards and reports focused on business impact in service of the Pearson+ product
Define automations for weekly/monthly reports to keep stakeholders aligned
Translate data into insights and concise business recommendations
6. AI / LLM-Driven Analytics & Automation
Leverage LLMs (e.g., Cursor, Claude, internal AI tools) to automate insight generation and anomaly detection
Define use cases for AI-powered analytics (e.g., auto-generated dashboards, self-serve insights and processes)
What We’re Looking For
Required
5+ years in product analytics, business analytics, ideally in SaaS, e-commerce, subscription, or EdTech.
Bachelor’s in Business, Finance, Economics, industrial engineering, Data Science or related field (or equivalent experience).
Proven experience owning metrics, instrumentation, and experimentation frameworks end-to-end
Strong SQL proficiency (ability to explore and validate data independently;)
Experience with tools like Mixpanel, Tableau, Snowflake (or similar stack)
Strong business/finance acumen— comfortable with P&L concepts
Excellent storytelling—ability to simplify complex data ability and translate data insights into clear business decisions
Familiarity with LLM tools and AI-assisted analytics workflows
Behavioral Expectations
Customer-Centric Thinking
Ownership & Accountability, Strategic Influence and Collaboration
Raising the Bar: Drive excellence in data quality, experimentation and insight depth
Innovation Mindset: Continuously identify opportunities to leverage AI and automation
What You’ll Gain
High Visibility: Your recommendations will steer multimillion-dollar decisions
Growth & Learning: Access to industry-leading L&D resources, mentorship from senior leaders, and exposure to cross-disciplinary projects.
Collaborative Culture: A supportive, global, and diverse team that values data fluency, creativity, and continuous improvement.
End-to-End Ownership: Influence from instrumentation → insight → business outcome
Ready to influence strategy and execution at scale? Apply now and help shape the future of learning at Pearson.