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# Head of BI & Data

- **Company:** Xelix
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £69,676.0
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Artificial Intelligence, Data Analysis, Cyber Security, Databases, Customer Data Management, Data Governance, Data Warehousing, Power BI, Standard Sql, Snowflake, Change Data Capture, Data Lakes, Looker Analytics, Data Pipelines
- **Published:** October 17, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5931444582

## About the Role

* Experience building or leading a data team in a B2B SaaS or fintech company, ideally as the first data leader
 * Hands-on depth in the modern data stack: Snowflake or similar, dbt, managed ingestion (Fivetran, Airbyte) and a BI tool such as Metabase, Omni, Looker or Power BI
 * Strong SQL and data modelling; you're happy to build hands-on in year one
 * A track record of getting business teams to agree on metric definitions and actually use them
 * Practical experience with AI in data work, such as AI-assisted pipeline development, natural-language analytics on a semantic layer, or AI evaluation data
 * Clear communication with senior stakeholders, from leadership and board reporting to engineers

## Description

We are now hiring for a Head of BI & Data to build and lead our new BI / Data team, initially reporting to our CTO. This role is an exciting opportunity to own Xelix's single source of truth from day one: the data lake, data warehouse and metrics that every team, AI feature and data product will rely on.

What you'll be doing

 * Build and lead the BI / Data team: hire a Data Engineer and an Analytics Engineer, and shape how the team works with Finance, RevOps, Commercial, Product, Engineering and Services
 * Own the data platform end to end: data lake, Snowflake data warehouse, ingestion and governed company KPIs such as ARR, customer retention, realised customer value, touchless rate and cost to serve
 * Deliver, with RevOps and Account Management, a joined customer dataset within your first three months (product usage, realised value, contracts and cost alongside CRM data) so they can answer which customers get value, renew or expand, and what they cost to serve
 * Set data governance with InfoSec: access controls, retention and deletion, and clear ownership for every data source
 * Make our data AI-ready: evaluation datasets for AI Engineering, trusted context for agents, and clean data for data products
 * Partner with the platform team on data contracts, change data capture and moving analytics off production databases, While the exact process may vary slightly depending on the role, our typical interview stages are:
 1. Introductory Call - A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
 2. Hiring Manager Interview - A 30-45 minute Teams meeting to explore your experience and fit for the team.
 3. Technical Task or Presentation - A role-relevant exercise to demonstrate your skills and approach.
 4. Final On-site Interview - An in-person meeting with our senior leadership team and co-founders at our office.

We strive to make the process clear, efficient, and respectful of your time.

We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.