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EdTech, Education, SaaS

Head of Data

United StatesRemoteFull TimeManager / Head$240,000–$321,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a Head of Data to lead our Data Science and Analytics Engineering teams and join our executive team. This role is responsible for building a data organization that directly influences product decisions, drives experimentation, and enhances company operations. The Head of Data will manage a team of approximately 15 people, ensuring data is a primary driver of product direction. This is a hands-on position involving direct engagement in product questions and experiments, alongside team development and hiring. The ideal candidate will integrate AI into data workflows, establish clear metrics, and foster a strong team culture.

### Who you are
- You have led a data team of ~10–20 people in a hands-on capacity
- You have directly driven product or business impact through data
- You think in terms of product outcomes, not just analysis
- You are comfortable operating in ambiguity and creating structure where needed
- You enjoy being both a leader and an individual contributor
You have a point of view on how AI will change data work

### What the job involves
- We are looking for a Head of Data to lead our Data Science and Analytics Engineering teams and serve as a key member of the executive team
- In this role you’d be building a data organization that directly shapes product decisions, drives experimentation, and improves how the entire company operates
- You will lead a team of ~15 people and be responsible for ensuring that data is a core driver of product direction, not just a support function
- This role is hands-on
- You will engage directly in product questions, experiments, and metric definition, while also building a strong, cohesive, and high-performing team
- Lead and develop a high-performing Data Science and Analytics Engineering team
- Drive data-led product improvements across growth, engagement, and monetization
- Partner closely with Product, Engineering, and Leadership to shape strategy
- Build systems and frameworks that improve decision speed and clarity
- Establish clear and trusted metrics and data definitions
- Integrate AI into data workflows to improve efficiency and insight generation
- Maintain a high hiring bar and strong team culture

### Benefits
- Work from home opportunities

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