Do you want to define how one of the world’s most recognised brands uses data to make better decisions?
Have you successfully brought Analytics, BI and Data Science teams together into a single high-performing function?
Are you ready to influence senior leaders across a global consumer ecosystem while shaping the future of data and AI?
A globally recognised consumer brand is hiring a Head of Analytics & Data Science to lead a newly combined Analytics and Data Science function. Created following a recent restructure, this role will unify reporting, analytics, insight and data science under a single strategy and operating model.
This is a highly visible leadership position with responsibility for driving data adoption, shaping strategy, influencing executive stakeholders and ensuring analytics and data science deliver measurable commercial impact. The successful candidate will lead a team of approximately 14 specialists and work closely with Product, Engineering, Governance and AI leadership teams.
The role would suit an experienced Head or Director-level data leader who enjoys operating in entrepreneurial environments where they can shape direction, influence senior stakeholders and build high-performing teams.
Key Responsibilities
• Define and deliver the Analytics & Data Science strategy across the organisation
• Lead and develop a multidisciplinary team spanning Analytics, BI and Data Science
• Drive adoption of self-service analytics and improve data accessibility
• Lead dashboard, reporting and insight transformation initiatives
• Partner with senior stakeholders to identify and prioritise high-value opportunities
• Guide development of predictive models, forecasting tools and ML-driven solutions
• Collaborate with Product, Engineering and Governance teams to deliver measurable business impact
• Build a culture of experimentation, innovation and continuous improvement
Key Details
• Salary: Up to £140,000 base
• Working: Hybrid, 2–3 days per week in Central London
• Team: Direct responsibility for Analytics and Data Science leadership, managing c.14 specialists
• Tech Environment: SQL, Python, R, AWS, Snowflake, Tableau, Analytics & ML platforms
• Visa Sponsorship: May be considered for exceptional candidates
Interested? Please apply below.
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