Role: Data & Analytics Lead

Department: Commercial Operations

Reports into: VP of Commercial Operations

Location: London (hybrid)

About the role:

We’re looking for Data & Analytics Lead to take ownership of our commercial data function. Commercial decisions increasingly depend on trusted, forward-looking data, and the bar on our data function has risen from “report what happened” to “define, predict, and steer.” We hold a high volume of data but need the definitions, governance, and ownership to turn it into insight the executive team trusts.

This is a newly created role to close that gap. You’ll be the single owner of our data layer; its definitions, its quality, and the insight drawn from it. You’ll be leading a team of three (two data engineers and one senior analyst) and partnering directly with senior leadership.

You’ll build deliberately, in sequence: a governed foundation and single source of truth first, then an exec-ready insight layer, then a credible AI and data strategy on top. You’ll be equally comfortable setting technical direction for engineers and translating data into clear narrative for executives.

What you will do:

• Own metric definitions, the semantic / metric layer, and a living data dictionary across the business, establishing a single source of truth.
• Set and enforce data governance: ownership, quality standards, and definition change control, so the business stops debating “whose number is right.”
• Direct the data engineering team on the pipelines and models that underpin the function.
• Turn data into narrative and forecast, not just dashboards — equipping the exec team with decision-ready insight on pipeline, revenue, retention, and forecasting.
• Own exec-facing reporting and the standards the analyst delivers against.
• Act as the trusted data partner to the VP and the wider leadership team.
• Define where AI and predictive analytics earn their keep (forecasting, scoring, copilots over governed data) and own the roadmap to deliver them.
• Lead, mentor, and grow a team of three; set direction and standards, and create a path for junior talent to develop.
• Sequence delivery deliberately; foundation, then insight, then AI, recognising that AI built on undefined data fails.

Experience we're looking for:

• Minimum of 3 years experience leading a data or analytics function
• People leadership experience, has managed and developed analysts and/or data engineers.
• Strong analytics-engineering depth; semantic / metric layers, dbt or equivalent, and SQL with the credibility to give technical direction to engineers.
• Experience across this tech stack (or similar): PowerBI, PostgreSQL, OpenMetaData and AWS.
• A track record of defining metrics and building governance and a single source of truth from a messy starting point.
• Exec-grade communication: able to turn analysis into clear narrative and recommendation for a senior audience.
• Ability to produce and present high quality analysis to both technical and business stakeholders

Nice-haves:

• SaaS, software, or subscription-business exposure (recurring revenue, retention / NRR, usage telemetry).
• Hands-on experience with modern BI and forecasting tooling, and a pragmatic view on applied AI / ML.
• Experience through a hardware-to-software shift or a wider commercial transformation.
• Python automation skills

Behaviours and traits we're looking for:

• Product-minded: thinks about the why, not just the how.
• A natural curiosity to learn and a 'can do' mentality with a strong preference to suggest solutions rather than just identify problems
• Dynamic and quick to respond to changes, works well under pressure, and with other teams
• No Ego: A win for the team and for our customers