Team Manager, Data Analytics & Business Intelligence

Manager, Data Analytics & Business Intelligence — Pearson Higher Education 

Location: Hoboken - Hybrid

The role 

At Pearson, we are the world’s digital learning company with more than 24,000 employees operating in 70 countries. We lead the education technology industry in design, service, and innovation. We are committed to bringing life to a lifetime of learning and to our talented team who make it all possible. By creating effective, engaging solutions, we provide boundless opportunities for learners at every stage of their journey around the world. We achieve this through cutting-edge technology, uncompromising service, and high-quality products that are engaging and easy to use. 

You will lead product analytics for Pearson's Higher Education courseware, integrations, and content authoring portfolio — products used by millions of students and tens of thousands of instructors. Your job is not to staff a reporting function. Your job is to make sure every product team in HE is making better decisions because of data: understanding how students and instructors actually use what we build, proving which bets pay off, and surfacing the opportunities our product managers couldn't see on their own. 

You will manage a small team of product analysts and partner directly with Heads of Product, PMs, designers, engineers, and learning science. You report into the HE product organization, not into a central data function — because analytics here is a product capability, not a service desk. 

What "good" looks like in this role 

We expect strong product analytics leaders to drive five uses of data. You will lead your team and your product partners against all five: 

1. Understand actual behavior. Instrument products so we can see what students and instructors do, not what they say. Close the gap between stated needs and revealed behavior. 

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2. Measure business and learning performance. Define and own the KPI trees for HE products — both commercial (activation, retention, revenue per learner) and learning (engagement-to-outcome conversion, time-on-task efficiency, assignment completion, demonstrable mastery gains). At Pearson, a product that drives revenue but not learning outcomes is a failure. Your metrics must reflect both. 

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2. Prove which ideas work. Stand up and scale the experimentation practice across HE — A/B tests, holdouts, l