Head of Data

Lawhive

Head of Data at Lawhive overseeing the data function for a B2B SaaS legal tech firm. Leading data strategy and team while improving data stack and integrations.

Posted 5/30/2026full-timeLondon • 🇬🇧 United KingdomLead💰 £120,000 - £180,000 per yearWebsite

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
Nice-to-haves:
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

Benefits

Comp & perks

💰 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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data stack managementdata integrationdata modellingsemantic layerbusiness intelligence (BI)data qualityentity resolutionschema mappingdata explorationAI-native practices

Soft Skills

leadershipcoachingcross-functional collaborationcommercial literacymetric definitionproblem-solvingcommunicationstrategic thinkingprocess improvementteam growth