ironquill.tech/board

$ cat jobs/head-of-data-scribe-ae991aac0817.json

Head of Data

Scribe·US·San Francisco·mid
data engineering
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tl;dr – At Scribe, data is the foundation of how we make decisions — we take it very seriously. We’ve built a data-literate team, where each function does hypothesis-driven experimentation with clear, measurable outcomes. Our data layer is treated as a revenue driver for the business, and not a cost center. We’re looking for a leader to manage and scale the data analytics and data engineering teams, while maintaining a focus on empowering our product team to make fast, informed decisions that fuel the next generation of product investments. About the role As the Head of Data, you’ll lead and grow our Product Analytics and Data Engineering teams, by driving the strategy and roadmap for reporting, data-powered insights, and experimental design that will amplify our data platform and product development. You’ll build teams and tools that empower Scribe to make informed decisions at every level, enabling step changes for our business. Working closely with product, growth, marketing, and sales, you will analyze the data from Scribe’s 5M+ users and suggest actionable insights that drive strategic business impact. Your work will be central to advancing Scribe’s mission, helping us boost OKRs and deliver a top-tier customer experience. Key responsibilities of this role include: - Manage and grow a high-performing data team by hiring and developing talent, fostering a culture of experimentation, continuous learning, and bias to action. - Define and deliver on Scribe's data platform, aligning with our organizational goals and working with executive leadership to integrate data initiatives into strategic company efforts. - Be a cross-functional magnet with our business and finance teams, to gather insights on customer journeys, product engagement, and growth trends, ensuring data is leveraged effectively by everyone. - Continuously evaluate and integrate new technologies to advance data modeling, data governance, and team capabilities, driving operational efficiency and data a

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