Opportunity brief
As Data Lead you'll own the data function end-to-end: the operating model, platform investment, team and outcomes. You'll lead an engineering team (~5 FTE), working closely with Product, Revops, Finance and GTM to make data central to how the business operates day-to-day. Our ambition is to tie operational data to engagement results so that our customers can prove the impact of employee feedback on their business' performance. This means you'll also collaborate closely with the reporting product team. In this role you will report directly to the CTO. The title we use for this role internally is Technical Team Lead. What you'll be doing: Data foundation & architecture Own the design and implementation of the internal data stack — warehouse, pipelines, orchestration, and BI layer Define target architecture compatible with the existing external product data stack owned by the reporting team Safeguard data quality, reliability, and documentation across all critical datasets Create and maintain shared metric definitions and data standards across the business Strategy & stakeholder leadership Define and own the company's data strategy and 12-month roadmap, aligned to company OKRs Partner with leadership — including RevOps, CISO, CTO, Finance, and Product — to align data capabilities with business priorities Establish clear working agreements with RevOps on metric ownership and shared data models, ensuring a single source of truth for critical company metrics Work alongside the CISO on data governance and access controls — security policy remains with the CISO; implementation sits with the Head of Data Analytics & AI readiness Deliver self-serve BI capabilities for Product, Customer Success, Finance, and the executive team Own product and customer engagement metrics; collaborate with RevOps on a shared revenue metrics layer Ensure data is structured, documented, and governed in ways that enable advanced analytics, automation, and AI use cases You set the standard for how the team uses LLMs, agents and automation in daily work, leading by example through hands-on workflow development and coaching the team to adopt AI-enabled ways of working by default. Team building Foster a data-driven culture across the organisation through standards, tooling, and stakeholder engagement