Data Lead

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. 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 This is you: We’re looking for someone with a proven track record of building data foundations that scale. You have designed or rebuilt the core data stack, from warehouse, pipelines, orchestration and BI layer to shared metric definitions, semantic models and data standards. You’ve done this in a way the business actually adopts. You understand why self-serve analytics often stalls without clear ownership, quality, governance and stakeholder alignment, and you know how to turn it into trusted day-to-day decision support across Product, RevOps, Finance, GTM and leadership. Additionally you’ll have: 7+ years in data or analytics roles, with at least 3 years in a leadership or management capacity You’re a strong people leader who builds clarity, accountability and momentum in technical teams. You’re able to set direction, coach engineers and analysts, and create the conditions for high-quality delivery You’ll bring strong SQL skills and hands-on experience with modern data stacks (e.g. Snowflake or DataBricks, dbt, Azure Data Factory, Fivetran, PowerBi or Looker etc.) You have experience operating in ambiguous, fast-growing environments where ownership is unclear and priorities shift Demonstrated ability to work as a peer alongside Revenue Operations, Security, and Engineering functions — influencing without formal authority You are pragmatic, analytical and results-oriented, with the ability to cut through ambiguity and turn complex data challenges into clear priorities and tangible business outcomes Privacy and security are essential in our business. You understand what it takes to create highly flexible insights while safeguarding individuals' privacy and meet enterprise security requirements You’re fluent in English This is us Effectory is Europe’s leading employee feedback solution. Our platform helps HR and leaders collect feedback throughout the employee journey. That feedback is transformed into people analytics that boost productivity, engagement, and retention. Built on 25 years of experience, our 200 specialists in Amsterdam and Munich support more than 800 organizations across 70+ countries. Now more than ever, HR is an integral part of business strategy which is why our feedback technology is tailor-made for strategic HR. Effectory’s mission We are dedicated to improving the working world by giving employees a voice and ensuring their feedback creates real impact. Our experts work with HR teams and leaders worldwide to overcome some of their biggest people-oriented challenges. From software engineers to HR specialists, every day we work to improve the working world and we’re looking for talented people who want to be part of that mission. This is what we offer 25days leave on a fulltime basis 4 “cool down days”(additional company wide days off a year, where the entire office is closed) The option to purchase extra holidays Your birthday off A day off to move house A volunteer day off to support something you care about Full additional parental leave for partners Flexible working hours from 7am – 7pm A sabbatical once every 5 years Working from abroad option for up to 4 months A great lunch (hot & cold vegetarian, meat and vegetarian options) at the office, made by our in house chef A week of fun and interactive onboarding to get to know Effectory and your new colleagues A learning budget for personal development + extensive internal development opportunities Budget to set up your home office Additional monthly compensation for working from home Pension Access to financial advice Annual Body & Mind budget for anything that energizes or relaxes you Yearly Summer School & Winter School Annual events: Winter Party, Summer Party & the legendary Big Day This is how it works You want this job: submit your application via the link below We are intrigued: join a phone call to introduce yourself and ask questions It feels like a match: we meet live (or via video) to get to know each other better We like each other even more: meet potential team members for a friendly deep-dive We want to see you in action: complete a case/assessment (if applicable) The final step: we agree on terms, sign… and you start!