Lead, Data Analytics & Business Intelligence

Pearson is a global digital learning company focused on education technology and lifetime learning. The Lead, Data Analytics & Business Intelligence will lead product analytics for Pearson Higher Education's courseware, integrations, and content authoring portfolio, managing analysts and partnering with product, engineering, design, and learning science teams. The role will establish analytics strategy, KPI frameworks, experimentation practices, and data-driven product decisions that improve commercial and learning outcomes.

Responsibilities:

• Lead the product analytics team. Manage, mentor, and grow a team of product analysts. Set the standard for analytical rigor, communication, and product partnership
• Drive departmental vision and strategy. Align analytics priorities with HE product goals, business strategy, and measurable learning and commercial outcomes
• Partner with product leadership on strategy. Sit in roadmap and quarterly planning, bring the data point of view to prioritization, and push back when proposed work has no measurable outcome attached
• Build and sustain cross-functional partnerships. Work closely with product, design, engineering, learning science, and data platform partners to maximize the impact of data across the portfolio
• Own the HE product KPI framework. Define the small set of metrics that matter across commercial performance and learning outcomes, and make sure teams can see and use them in near-real time
• Drive instrumentation and telemetry. Partner with engineering and data platform teams to define what we measure, where, and how, treating instrumentation as a first-class product requirement
• Lead and scale experimentation. Build the best tooling, expectations, and cultural norms for testing, evidence-based decisions, and honest interpretation of results across HE products
• Surface new product opportunities. Run discovery-oriented analyses across usage, outcomes, support, content interaction, and instructor behavior to identify opportunities that can change roadmaps
• Communicate insights to executives. Translate complex analysis into clear, actionable narratives that HE and Pearson leadership can use to make decisions
• Govern data quality. Maintain definitions, lineage, and trustworthiness so analytics outputs are reliable and decision-ready

Requirements:

• 8+ years in product analytics, with at least 2-3 years managing analysts. You've done the work and you've built the people who do the work
• Proven track record delivering complex data solutions and measurable business impact. You can point to decisions, experiments, roadmap changes, or product improvements that happened because of analysis you led
• Experience partnering with business leaders and managing cross-functional projects. You know how to work across product, engineering, design, data, and commercial stakeholders to move from insight to action
• Fluency in the product operating model. You've worked directly with empowered product teams (or you've helped create them) and you understand the difference between feature teams and product teams
• Strong experimentation chops. You can design a test, size it, read it, and tell a PM when not to run one
• Technical depth: SQL (BigQuery, Snowflake), product analytics tools (Mixpanel or equivalent), Tableau, Python a plus. We expect you to be hands-on — you should still be able to run the analysis yourself, even when you don't have to
• Sharp communication. You can hold your own in a room of senior product and engineering leaders and translate ambiguity into clear questions and clearer answers
• experience in education, edtech, or any domain where learning, behavior change, or skill acquisition is the core user outcome. You should care that what we build actually improves learning outcomes