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# Head of Data (London)

- **Company:** Conveo
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Salary:** £115,000 - £130,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Information Engineering, Data Infrastructure, Data Streaming, Business Intelligence Development Studio, Data Layers
- **Published:** November 12, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5962892969

## About the Role

* Experience leading data at a startup or scale-up, as a Head of Data, Head of Analytics or similar. Ideally you've been at a Series B company or later and have seen what good structure looks like at the next stage
 * Hands-on BI and analytics experience. You've done the insights work, not only data engineering, and you know what good BI looks like
 * Enough technical depth to ask engineers the hard questions, and a clear understanding of how data flows from the warehouse through transformation and semantic layers into a BI tool.
 * A problem solver's instinct: you can talk to a department lead, draw out what they really need, and turn it into analysis
 * A commercial mindset: you understand how a business works and what it needs from its data
 * Strong stakeholder skills. Lots of people will want your time, and you prioritise well while keeping their trust
 * Everyday use of AI in how you work, and a view on how to build data that AI tools can rely on
 * Experience of the challenges that come with scaling fast, and a clear sense of the structure you'll bring as we grow

 * Hands-on experience with BigQuery, dbt, Cube or Metabase

## Description

* Sit down with department leads, get to the real question behind a request, and build the analysis that answers it
 * Act as the translator between engineering and the business: ask engineers the hard questions about what to build, and explain data in plain English to everyone else
 * Swap today's sprawl of one-off dashboards and AI-generated reports for a clear set of things people actually need to look at

Use AI well, without the slop

 * Shape our data so AI tools can use it reliably
 * Help the business get real value from AI for analysis, without a flood of low-quality output

Build the data team

 * Hire your first team members, and set out what the BI team should look like as we grow
 * Lay the groundwork for machine learning and data science later on

 * After one month: you know our data infrastructure properly and have run a full gap analysis covering what we take in, what we understand and what's missing. You also have a plan for what to fix first and a plan for the team, including your first hires.
 * After three months: you've reviewed the setup in place and own BigQuery, the transformation layer and our BI tooling, and our systems are ready to scale. Teams are already using data better because of work you've delivered.
 * After six months: every department is running with deep insights and analytics, and our leaders have the confidence and ability to use the data themselves.
 * Throughout: people trust the numbers, the business has the dashboards it needs rather than a thousand it doesn't, and we know who the data team hires next.