This senior leadership opportunity will shape a modern, AI-enabling analytics function at a critical point of transformation. With the role positioned at the centre of the business, it combines strategic leadership with hands-on delivery to influence how data, analytics, and decisioning drive commercial outcomes. the client is a consumer-focused organization operating in a highly data-rich, regulated environment, with a strong emphasis on responsible decision-making and customer outcomes.
You will lead a centralized Analytics and MI function serving multiple business areas as an internal consultancy. Key responsibilities include leading and developing a high-performing analytics team, shifting reporting from descriptive to actionable, insight-led analytics that supports senior decision-making, and embedding AI and advanced analytics capabilities into day-to-day workflows to improve the speed, quality, and scalability of insight. You will also oversee scalable data and reporting infrastructure, including automated reporting and governed “gold layer” datasets, and manage a decisioning migration by line-managing a Decision Engine Manager and overseeing the move to a new decisioning platform.
The role also involves managing and prioritizing a shared analytics workload across finance, marketing, and executive stakeholders. You should have strong leadership experience in analytics or MI within a complex commercial environment, along with a proven ability to translate data into clear, actionable recommendations for senior stakeholders. Hands-on technical capability is expected, with SQL required and Python experience preferred, plus familiarity with modern data stack tools (such as Snowflake and Power BI or similar). Practical experience applying AI tools within analytics is required, including an understanding of benefits, limitations, and governance, and you should be comfortable operating in fast-moving environments where structure may be evolving.