Head of Analytics Strategy & Data Science

Cleo; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Health insurance

Sabbatical after four years

Learning & development platform

Pension or retirement contributions

Location-specific leave entitlements

Job summary

Cleo is looking for a senior analytics leader to own the analytics strategy across its Financial Services Product pillars. You will lead the analytics leadership layer, build bench strength, and raise the bar on rigour, governance, and metrics across squads.

You will partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps and drive evidence-based decisions at senior levels. A strong bias for automation and ownership is essential.

Qualifications

• 8+ years in data analytics, data science, BI engineering, or analytics engineering.
• Proven management experience of at least 4+ ICs.
• Deep experimentation expertise beyond stat-sig testing.
• Bias for automation, ownership, and shipping.
• Ability to set standards and operating models adopted by teams.
• Translate product/user metrics into revenue and LTV.

Responsibilities

• Own the analytics strategy and operating model across Financial Services Product pillars.
• Lead analytics leadership layer (L4/L5 managers and senior ICs) with growth plans.
• Drive the experimentation programme and improve measurement infrastructure.
• Improve observability of live user flows and metric movements with Engineering.
• Champion responsible use of AI as a force multiplier in analytics.
• Shape roadmaps with Product, Credit, Engineering, Commercial and ML leadership.
• Set and enforce company-wide standards for metrics, experimentation, and reporting.

Skills

Analytics leadership

Management experience

Experimentation

Automation

Stakeholder management

Commercial mindset

Systems thinking

Executive storytelling

AI tools

Fintech interest

Job description

Cleo is looking for a senior analytics leader to own the analytics strategy across its Financial Services Product pillars. You will lead the analytics leadership layer, build bench strength, and raise the bar on rigour, governance, and metrics across squads.

You will partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps and drive evidence-based decisions at senior levels. A strong bias for automation and ownership is essential.