Head of Data
We're looking for a Head of Data to join our team. You’ll collaborate with awesome people, drive efficiency & bring your expertise to help shape our future.
Join Teamtailor and Help Shape the Future of Work!!
Teamtailor is a global Employer Branding and ATS SaaS platform used by over 13,000 companies, 250,000 users, and available in 90 countries worldwide. 🌍
Working at Teamtailor means being part of a dynamic, fast-paced tech company that values impact and responsibility. Our workplace fosters an environment where everyone can contribute meaningfully to the growth of the company. 🎉🥳
We are now looking for a Head of Data to join our team, based in Stockholm
The Head of Data will own Teamtailor's data strategy and infrastructure: the pipelines, architecture, and governance that everything else runs on. This role builds and maintains a scalable, reliable, well-documented data foundation, and defines the semantic layer and metric definitions that keep numbers consistent across the business. Business intelligence and reporting are owned by the teams closest to the decisions, primarily Revenue Operations and FP&A, who build on top of the foundation this role provides.
Key responsibilities:
Data Strategy & Leadership
Define and own Teamtailor's data strategy, architecture roadmap, and infrastructure investment priorities.
Build and lead the Data Engineering team, including defining ways of working for the data team, balancing priorities, and driving a proactive approach.
Establish a data governance model covering reliability, data quality, access control, and privacy/compliance (GDPR and equivalent).
Act as thought partner to the Leadership team on data infrastructure and its commercial implications.
Commercial Insight & KPI Framework
Develop a unified KPI and metric framework across revenue, product, customer success, marketing, and operations.
Partner with business leaders to understand strategic and operational requirements, translating them into data models and analytical capabilities.
Ensure that business-critical insights are accurate, timely, and accessible to decision-makers.
Data Architecture & Engineering
Own and evolve the data architecture: ingestion, transformation, and a layered data model (staging, integration, semantic layers, marts).
Ensure pipelines are reliable, observable, well-documented, and scale with the business.
Own the semantic/metrics layer: define and maintain a single source of truth for core metric definitions so that RevOps, FP&A, and other teams report consistent numbers even when building their own dashboards.
Manage BI platform infrastructure (e.g., Looker, Metabase) at the tooling and access level, without owning dashboard content.
Enablement of Business Teams
Partner with RevOps and FP&A as the primary owners of BI, reporting, and dashboards, ensuring they have clean, well-modeled, self-serve-ready data.
Set and enforce standards for how business teams build on the data foundation (naming, definitions, governance) to prevent metric drift.
Provide training and support to embed a self-serve data culture across business teams.
Cross-Functional Collaboration
Support RevOps on the data infrastructure behind GTM and revenue analytics.
Support FP&A on data infrastructure for forecasting, budgeting, and board-level reporting.
Work with Product and Engineering on data infrastructure for product analytics and instrumentation.
Support Marketing and CS with modeled, reliable underlying data as needed.
Requirements:
Commercial & Strategic Acumen
Proven ability to understand business needs, ask the right questions, and translate them into actionable data solutions.
Experience building KPI frameworks and metric definitions across complex SaaS environments.
Strong communication skills and ability to work with executive stakeholders.
Technical Expertise
Strong track record building and scaling modern data architecture (ingestion, transformation, orchestration).
Hands-on experience with BigQuery, Snowflake, or similar platforms; comfortable reviewing pipeline and modeling work directly, not just managing it.
Experience with layered data modeling, semantic/metrics layers, and transformation frameworks (e.g., dbt).
Strong grasp of data governance, documentation, observability, and data quality practices.
Working familiarity with BI tools (Looker, Metabase) sufficient to support other teams, not to build reporting.
Leadership & Team Management
Experience leading Data Engineering teams (3+ people).
Ability to set direction, coach technical teams, and scale a data function.
Nice to have
Experience in a global SaaS company in a strong growth phase.
Deep technical skills in addition to a strong commercial understanding.
Experience building a data warehouse bottom up
Familiarity with operational analytics, revenue analytics, or product analytics.
Experience embedding self-serve data culture in scaling organizations.
If this sounds like you, please APPLY!
Stockholm
Workplace & Culture
Our guiding stars are to be different, personal and kind. These apply to everything we do, from how we talk to our customers to how we work and who we hire. We have a lot of fun doing what we love, and we celebrate every success.
Drop by one of our offices and say hello and meet our team – coffee is on us ☕️
About Teamtailor
Teamtailor is changing the way companies work with employer branding and recruiting online. Want to help us make HR heroes? Working at Teamtailor means joining a young, fast-moving tech company and working with smart people who are passionate about what they do.