Albert Bow
Head of Data & Analytics
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Head of Data & Analytics
Head of Data & Analytics | £200K + Equity | London
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 are scaling their leadership team and 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.
About the Role
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.
You’ll own the entire data stack end-to-end while growing the existing data functions across the business. This means responsibility for:
- Ingestion
- Modelling
- Metrics
- Analytics
- Prediction
- Activation
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You’ll design how the company understands its own usage, customers, revenue, and product behaviour. You’ll also ensure the system is fast, clean, and reliable enough that founders and teams can trust it in real time.
This is a highly hands-on role, especially early on. It’s not about managing a team of specialists—it’s about building the system, then scaling it.
You’ll work directly with founders and engineering, shaping:
- Product direction
- Pricing strategies
- Growth loops
- Operational decision-making
Requirements
Mandatory
- 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
- Risk / behavioural modelling
- Proven experience owning:
- Production data systems
- Decision-making pipelines
- Experience with cloud data warehouses (e.g., Redshift, Snowflake, BigQuery, etc.)
- Strong intuition for data modelling (you know what good looks like)
- Experience building BI layers
- Strong written and verbal communication (clarity is critical)
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Nice to Have (Not Mandatory, but useful)
- Experience with AWS + Azure data stacks
- Knowledge of GitHub Actions or lightweight orchestration
- Experience with anomaly detection or monitoring systems in production
- Exposure to LLMs, agents, or AI-native data design
- Experience in usage-based SaaS or fintech environments
Next Steps
If you’re interested, reach out to Christian at Albert Bow for more information.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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