Head of Analytics & AI Strategy, Financial Services

Cleo; United Kingdom; Hybrid; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Equity

Health insurance

Dental and vision insurance

Mental health support

Sabbatical after 4 years

Learning & development platform

Pension contributions

Location-specific leave

Job summary

Cleo is hiring a senior analytics leader to own the analytics strategy across its Financial Services Product pillars. You will lead the analytics leadership layer and set company-wide standards for metrics, experimentation, and reporting across pillars.

You will partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps with evidence and drive a rigorous experimentation program while improving observability and accountability across teams.

Qualifications

• 8+ years in data analytics, data science, BI engineering, or analytics engineering in a high-growth, product-led company.
• Proven management experience of 4+ ICs.
• Deep experimentation expertise beyond stat-sig testing, including bucketing and priors.

Responsibilities

• Own the analytics strategy and operating model across Cleo's Financial Services Product pillars.
• Lead and develop the analytics leadership layer (L4/L5) and build a strong bench and succession plan.
• Drive the experimentation programme with governance and improve data observability.
• Partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps with evidence.
• Champion responsible use of AI tools as a force multiplier in analytics workflows.

Skills

Analytics leadership

People management

Experimentation

Product metrics

Stakeholder management

AI tooling

Fintech domain knowledge

Education

Bachelor’s or Master’s degree in a relevant field

Tools

SQL

Python

Tableau/BI tools

Job description

Cleo is hiring a senior analytics leader to own the analytics strategy across its Financial Services Product pillars. You will lead the analytics leadership layer and set company-wide standards for metrics, experimentation, and reporting across pillars.

You will partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps with evidence and drive a rigorous experimentation program while improving observability and accountability across teams.