Head of Data Strategy & Architecture

Teamtailor AB; Stockholms kommun; On-site; SEK 1,400,000 - 2,000,000; Full time

Job summary

Teamtailor is seeking a Head of Data based in Stockholm to own the data strategy and infrastructure. You will lead the data team, establish governance, and define metrics that align with revenue, product, and operations. The role emphasizes collaboration with RevOps, FP&A, and product teams to enable self-serve analytics across the business.

The ideal candidate will have hands-on expertise with modern data platforms and strong leadership experience in a scaling SaaS environment.

Qualifications

• Proven ability to understand business needs 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.
• Hands-on experience with modern data architecture (ingestion, transformation, orchestration).

Responsibilities

• 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 and governance.
• Establish a data governance model covering reliability, data quality, access control, and privacy/compliance.
• Partner with RevOps and FP&A as primary owners of BI, reporting, and dashboards, ensuring clean, well-modeled data.
• Collaborate with Product and Engineering on data infrastructure for product analytics and instrumentation.

Skills

Commercial & Strategic Acumen

Strong communication

Executive stakeholder management

Leadership

Tools

Looker

Metabase

BigQuery

Snowflake

dbt

Job description

Teamtailor is seeking a Head of Data based in Stockholm to own the data strategy and infrastructure. You will lead the data team, establish governance, and define metrics that align with revenue, product, and operations. The role emphasizes collaboration with RevOps, FP&A, and product teams to enable self-serve analytics across the business.

The ideal candidate will have hands-on expertise with modern data platforms and strong leadership experience in a scaling SaaS environment.