Head of Data

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Establish the data strategy and guidelines for utilizing and building upon trusted data sources.

• Provide guidance to senior leadership on data initiatives, evaluate their worth, and present impactful versions.

• Take ownership of data for a new customer-facing project alongside the CEO.

• Integrate project results into the internal customer intelligence platform.

• Empower product managers to independently access product usage data.

• Collaborate with product managers from the outset to ensure accurate data collection.

• Deliver clear and actionable customer insights to Customer Success, Sales, and Marketing teams.

• Manage the customer intelligence platform comprehensively, including its development roadmap.

• Oversee RecTrends, the public benchmarking website.

• Supervise the data pipeline from source to insight, including monitoring and maintaining a data dictionary.

• Ensure data cleanliness and documentation for secure AI-tool utilization.

• Collaborate with the AI engineering team to develop machine-learning benchmarks using customer data over time.

• Maintain pipeline reliability for month-end and other financial operations.

• Operate independently as the inaugural data leader, reporting directly to the CFO.

⛳️ Requirements

• Based in the UK and fully remote, working during UK hours.

• Experience in managing data strategy or an entire data function, preferably in B2B SaaS.

• Proven track record in designing and building a data stack within a lean team.

• Proficient in SQL and data modeling (Dataform or dbt).

• Strong command of Python with proper code management in version control.

• Extensive hands-on experience with BigQuery or a comparable cloud data warehouse, such as Snowflake.

• Familiarity with modern ELT processes and the ability to select tools based on merit, cost, and maintainability.

• History of developing data products utilized by non-technical teams, beyond just dashboards.

• Experience in transforming raw product usage data into actionable metrics.

• Commercial acumen in linking data efforts to revenue, retention, and strategic goals.

• Ability to communicate effectively with senior leaders and non-technical teams, both in writing and during meetings.

• Regular use of LLMs and agentic tools, with the technical insight to identify errors and ensure data reliability.

• Practical experience with ML or statistical modeling applied to real business challenges is an advantage.

• Familiarity with event streaming technologies like Pub/Sub or Kafka is an advantage.

• Experience with Vertex AI or LLM pipelines is a bonus.

• Knowledge of Fivetran, Hightouch, Segment, or PostHog is a bonus.

🏝️ Benefits

• Comprehensive healthcare: outstanding medical, dental, and vision coverage for you and your family.

• Unlimited vacation days.

• Mental health support: unlimited, immediate access to professional counseling through Spill.

• Retirement contributions: 401k or pension contributions based on your location.

• Remote-first approach: work where you are most effective, with flexibility and trust as the standard.

• Equity with significant potential: share in the long-term value you help create.

• Fully paid parental leave: up to 16 weeks of compensated leave for new parents.

• Learning budget: annual funds for courses, books, or anything that fosters your development.

• Team meetups in London every quarter.