• Location
  • Vilnius, Lithuania
  • Last Published
  • May. 19, 2026
  • Sector
  • AI/ML
  • Function
  • IT
We are looking for a Head of Data to own and build our data function from the ground up. You will start hands-on, building the foundation yourself, then grow and lead the team around it. Act as a strategic leader and player-coach, setting the data vision for the company and ensuring our business stakeholders can trust the numbers they use every day.

Main Responsibilities

  • Define the company's data strategy: what we measure, how we measure it, and what we build next.
  • Establish a single source of truth for KPIs and metrics across the company.
  • Design and maintain robust data models using advanced SQL across multiple sources, specifically Salesforce, Stripe etc..
  • Transform raw data into analytics-ready datasets that scale with the business.
  • Build a data governance framework - quality checks, validation, testing, and access controls to ensure trusted reporting.
  • Own the company's metrics layer, ensuring KPIs are calculated uniformly and never disputed.
  • Create and maintain interactive dashboards and reports in Looker Studio that actually get used.
  • Partner with business stakeholders to define metrics, improve data usability, and ensure dashboards answer the right questions.
  • Work directly with Sales, Marketing, Revenue Operations, Product, and Engineering leadership to understand their reporting and data needs.
  • Act as a bridge between technical data and business strategy — translating vague business questions into concrete data models and metrics.

Core Requirements

  • 5+ years of experience in data roles (Data Engineering, Analytics Engineering, or similar), with at least 2 years in a senior or lead capacity.
  • Strong SQL skills are essential. You must be comfortable writing complex queries, modeling multi-source data, and optimizing for performance.
  • Proven experience building dashboards in Looker Studio (or similar BI tools like Tableau/PowerBI, provided you can adapt quickly).
  • SaaS Domain Knowledge.
  • Familiarity working with business systems data, specifically Salesforce (SFDC), Stripe, and Product Events.
  • Strong ability to translate business needs into technical solutions and lead independently with high ownership.
  • Leadership experience: you've hired, mentored, or technically led data people.

Tools You Will Use

  • Data Warehouse: Google BigQuery
  • Transformation & Logic: SQL, dbt
  • Visualization: Looker Studio
  • Platforms: GA4/Google Analytics