Scribe
Data
HeadofData
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“Head of Data at Scribe. Skills: Data analytics, Data engineering, ML/AI, Business intelligence. Manage and grow a high-performing data team. Hire talent”
What You'll Achieve.
Boost OKRs; Deliver top-tier customer experience; Drive strategic business impact; Drive operational efficiency; Drive data accessibility
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
10+ years of experience working on Data teams, 4+ years of experience in hiring and managing data analysts, 4+ years of experience in hiring and managing data engineers, 4+ years of experience in hiring and managing data scientists, technical proficiency with the Modern Data Stack, Customer mindset, Low ego, Proactive impact-driven, Outcomes over output
Nice to Have
Experience working in high-paced Enterprise SaaS startups, Experience creating a step-function change in an organization’s data strategy with the help of AI tooling, Experience deploying machine learning models in Production
What You'll Do.
Manage and grow a high-performing data team
Foster a culture of experimentation
Foster a culture of continuous learning
Foster a culture of bias to action
Define Scribe's data platform
Deliver Scribe's data platform
Align data platform with organizational goals
Integrate data initiatives into strategic company efforts
Gather insights on customer journeys
Gather insights on product engagement
Gather insights on growth trends
Ensure data is leveraged effectively
Evaluate new technologies
Integrate new technologies
Advance data modeling
Advance data governance
Advance team capabilities
Drive operational efficiency
Drive data accessibility
Analyze data from 5M+ users
Suggest actionable insights
Drive strategic business impact
Amplify data platform
Amplify product development
Empower Scribe to make informed decisions
Deliver a top-tier customer experience
How You'll Work.
Team & Collaboration
Cross-functional teams; Business teams; Finance teams; Product teams; Growth teams; Marketing teams; Sales teams; Executive leadership
Communication Scope
Actionable insights; Strategic business impact
Process & Methodology
Roadmap development
Full Job Description
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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