W Talent
We are supporting a financial services organisation as they invest heavily in commercial, sales, and marketing analytics. This role leads a well-established analytics function and plays a key role in modernising insight delivery, moving from manual reporting to advanced analytics, automation, and AI-enabled decisioning.
This is a hands-on leadership role for someone who combines strong people leadership with deep analytical credibility.
Key Responsibilities
Lead a multi-disciplinary Insights & Analytics team across BI, data science, and data engineering Partner closely with Sales, Marketing, and Commercial leaders to drive measurable business outcomes Oversee BAU reporting while advancing automation, self-service analytics, and advanced modelling Design and deliver data science solutions including propensity models, scoring, and personalisation Help shape and execute the roadmap for AI and LLM-enabled analytics capabilities Key Requirements
Senior leadership experience in analytics, insights, or data science within complex organisations Strong background in sales, marketing, or commercial analytics Hands-on understanding of BI tools (Power BI / Tableau), data science, and machine learning Experience modernising analytics functions through automation and advanced analytics Industry experience in financial services, or regulated environments strongly preferred
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Lead a multi-disciplinary Insights & Analytics team across BI, data science, and data engineering Partner closely with Sales, Marketing, and Commercial leaders to drive measurable business outcomes Oversee BAU reporting while advancing automation, self-service analytics, and advanced modelling Design and deliver data science solutions including propensity models, scoring, and personalisation Help shape and execute the roadmap for AI and LLM-enabled analytics capabilities Key Requirements
Senior leadership experience in analytics, insights, or data science within complex organisations Strong background in sales, marketing, or commercial analytics Hands-on understanding of BI tools (Power BI / Tableau), data science, and machine learning Experience modernising analytics functions through automation and advanced analytics Industry experience in financial services, or regulated environments strongly preferred
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