Head of Data, Goodstack

• Experienced in building data functions at fast-growing companies (7+ years)
• Skilled in modern data tools (e.g. airflow, looker, dbt, snowflake, databricks), SQL, and Python or Typescript
• Strategic thinker who’s hands-on when needed
• Strong communicator who can influence with data
• Proven team builder with a bias for impact

Desirable

• We’re looking for an exceptionally detailed, hands-on, process-driven Head of Data to own the smooth flow of funds from customers to charities
• In this role, you’ll play a critical role in ensuring that donations received on behalf of our customers are paid out to charities
• You’ll oversee a small team to execute this process end-to-end, monitor service levels, and act as the point of escalation on complex challenges
• If you have a background building data team structures, enjoy facilitating comms across the board and want to work for a company making a hugely positive societal impact, this could be the perfect role for you!
• Build a high-impact data function that empowers every team to make smarter decisions and discover new growth opportunities. In the short term, assess and stabilise current tools and workflows
• Long term, develop a scalable data strategy, hire a strong team, and become a trusted advisor to leadership
• Assess and strategise: Audit the current data stack (dbt, snowflake), identify reliability risks, and define a scalable data strategy aligned to business goals
• Deliver insights: Build reliable reporting and dashboards that drive decision-making. Reduce reactive work by improving foundational systems
• Partner cross-functionally: Work closely with Product, RevOps, Operations, and leadership to translate business questions into data solutions and support goal-setting with clear KPIs and OKRs
• Own infrastructure: Maintain and evolve our data warehouse, pipelines, and analytics tools to improve accessibility and trust
• Build the team: Define the structure of the data team over time. Hire and lead a small, hands-on team across engineering, analytics, and planning
• Drive culture: Champion a company-wide data culture where insights are trusted, proactive, and core to planning
• After 3 months, success will look like:
• Mapped current systems and risks
• Identified pain points from over-stretched resources
• Reduced firefighting by stabilising dashboards and workflows
• Set the direction for a more analytical, less reactive data function
• Success beyond 3 months:
• Clear structure and roadmap for long-term sustainability
• Increased trust in data and reduced ad-hoc demand
• More predictable, structured delivery of data requests