Data & Analytics Lead

Disguise; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Unlimited PTO

Hybrid work model

Mental health support

Gig allowance

Belonging policies

Training & mentoring

Job summary

Disguise in London is seeking a Data & Analytics Lead to own the commercial data function and build a governed, trusted data layer. You will define metrics, establish a single source of truth, and partner with senior leadership to drive decision-ready insight.

You will lead a team of three (two data engineers and one senior analyst) and shape the roadmap for predictive analytics and AI once data quality is established.

Qualifications

• Minimum 3 years experience leading a data/analytics function.
• People leadership experience managing analysts and/or data engineers.
• Strong analytics‑engineering depth with metrics and governance.
• Experience with PowerBI, PostgreSQL, OpenMetadata and AWS.
• Exec‑level communication: turn analysis into clear narrative.

Responsibilities

• Own metric definitions, the semantic/metric layer, and a living data dictionary.
• Set and enforce data governance: ownership, quality standards, and change control.
• Direct the data engineering team on pipelines and models.
• Turn data into narrative and forecast for executive decision-making.
• Own exec-facing reporting and the standards delivered by analysts.
• Partner with the VP and wider leadership as trusted data advisor.
• Define where AI and predictive analytics earn their keep and roadmap.
• Lead, mentor, and grow a team of three; set direction and standards.
• Sequence delivery: foundation, then insight, then AI.

Skills

Leadership

Analytics engineering

SQL

dbt

PowerBI

PostgreSQL

AWS

Executive communication

Data governance

Forecasting

Tools

OpenMetadata

Job description

Role: Data & Analytics Lead

Department: Commercial Operations
Reports into: VP of Commercial Operations
Location: London (hybrid)

About the role

We're looking for a 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 will be the single owner of our data layer – its definitions, its quality, and the insight drawn from it. You will lead a team of three (two data engineers and one senior analyst) and partner directly with senior leadership. You will build deliberately, in sequence: a governed foundation and single source of truth first, then an executive‑ready insight layer, then a credible AI and data strategy on top. You will be equally comfortable setting technical direction for engineers and translating data into a 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.

Our benefits

• Unlimited Paid Time Off – minimum time you must take set at 20% above statutory.
• Hybrid working between home and our offices (dependent on role and location).
• Mental health and wellbeing support – subscription to the Calm app, mental health first‑aid buddies, employee assistance programmes.
• Gig allowance – £400 (or local equivalent) to spend on tickets every year to immerse yourself in our industries.
• Belonging policies – including (but not limited to) support for Parental, Fertility, Miscarriage, Menopause and Transitioning.
• Training, coaching & mentoring.