lawhive - Head of Data
Requirements
• You'll be a great fit for this role if: • You've owned a data stack end-to-end at a B2B SaaS scaleup. You can walk us through what you built, changed, why, and what you'd do differently • You've built repeatable data integration patterns at an M&A-heavy company or rollup. Ideally a B2B SaaS context. You know how to handle messy legacy systems and conflicting schemas • You have strong opinions on the modern data stack and data modelling best practices: warehouse, modelling, semantic layer, BI tooling, exploration. You can defend trade-offs • You're AI-native in your craft. You use Cursor, Claude, dbt AI, agentic notebooks daily. You've shipped AI features inside a data team (LLMs for entity resolution, schema mapping, data quality, exploration). You think LLMs change how data work gets done structurally, not just incrementally • You're commercially literate. You can partner with functional heads as a peer and translate business questions into data infrastructure • Experience standing up a semantic layer (LookML, Cube, dbt semantic layer) • Background at a PE-backed software rollup or M&A-heavy SaaS • Familiarity with legal services, legal tech, or regulated marketplaces
Responsibilities
• Diagnose and improve our data stack in your first 12 months. Propose a target architecture against our goals of AI-native self-serve-first analytics (warehouse, modelling, semantic layer, BI, exploration). Replace tools where needed • Design and own the acquisition data integration playbook. Build a canonical Lawhive data model that future systems map to. Make firm onboarding a repeatable weeks-not-months process • Make Lawhive self-serve on data. Build the platform, modelling, and semantic layer that lets business users explore, drill in, and answer their own questions • Define and enforce data quality SLAs. Freshness, accuracy, ownership coverage, end-to-end lineage • Lead and grow the data team. Coach analysts into stronger cross-functional partners. Hire and onboard a data integration engineer in year 1 • Partner with Strategy on metric definition. You own instrumentation, semantic layer, and accuracy. They own the metric tree. Together you run the metric council • Drive AI-native practices inside the data function. Use LLMs for entity resolution, schema mapping, data quality, and exploration. Set the bar for how a data team works in 2026 • Be a key cross-functional partner to Product, Engineering, Finance, Strategy, and the operational teams within acquired firms
Benefits
• 💰 Meaningful early-stage equity at one of Europe’s fastest growing startups • ✈️ 33 days’ annual leave (25 + bank holidays) plus your birthday off • 💰 Pension contribution via Nest • 💷 20% off legal fees through Lawhive • 💻 Top-spec Macbook • ⛳️ Regular team building activities and socials! • DIVERSITY AT LAWHIVE • At Lawhive we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we build a diverse, inclusive team. We’re not yet where we want to be but as we scale we’ll only ever increase the focus we apply to this.
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