At a Glance
- Tasks: Lead the data function, design systems, and ensure data reliability for impactful AI solutions.
- Company: Join one of the UK's fastest-growing AI companies with a focus on innovation.
- Benefits: Competitive salary of £200K plus equity, with opportunities for growth.
- Other info: Hands-on role with direct impact on product direction and company strategy.
- Why this job: Shape the future of AI by building and scaling essential data systems.
- Qualifications: 6–10+ years in data roles, expert in Python and SQL, strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
Albert Bow is partnering with one of the UK's fastest-growing AI companies, building next-generation systems that replace complex enterprise workflows with automated, LLM-powered execution. Following significant investment and rapid commercial growth, they're scaling their leadership team and are now looking to appoint a Head of Data & Analytics. This is a rare opportunity to own the entire data function at a business where data sits at the heart of every product decision, commercial strategy, and AI capability. If you're excited by building from first principles, solving hard technical problems, and helping shape the future of an ambitious AI business, this is a role with genuine impact.
The Role
- You own the entire data stack end-to-end while growing the existing data functions across the business.
- You’ll design how the company understands its own usage, customers, revenue, and product behaviour.
- You’ll also make sure the system is fast enough, clean enough, and reliable enough that founders and teams actually trust it in real time.
- You’ll be deeply hands-on, especially early on. This is not a “manage a team of specialists” role. It’s a “build the system, then scale the system” role.
- You’ll work directly with founders and engineering on product direction, pricing, growth loops, and operational decision-making.
Requirements
- 6–10+ years in data engineering, analytics engineering, or applied data science.
- Built production-grade data systems in a startup or scale-up environment.
- Expert-level Python and SQL.
- Strong grounding in statistical modelling, forecasting, or risk/behavioural modelling.
- Proven experience owning production data systems and decisioning pipelines.
- Experience with cloud data warehouses (Redshift, Snowflake, BigQuery, etc.).
- Strong data modelling instincts (you know what good looks like).
- Experience building BI layers.
- Strong written and verbal communication - clarity matters here.
Nice to Have (Not Mandatory, but useful)
- GitHub Actions/lightweight orchestration experience.
- Anomaly detection/monitoring systems in production.
- Experience in usage-based SaaS or fintech environments.
If you are interested in hearing more about this opportunity, reach out to Christian at Albert Bow for more information.
