Market Insights & AI Manager

. Key responsibilities Insight delivery: • Conducts market research, including identification of relevant sources of information, aggregation/synthesis of findings, and delivery, applying AI-enabled tools to accelerate insight generation, and takes ownership of selected strategic research projects  • Drives the end-to-end delivery of high-quality projects, agreeing scope and timelines with stakeholders • Design and deliver quantitative research solutions, including market sizing, market landscaping, and commercial analytics, to support  • Prospect evaluation • Whitespace Identification • Industry prioritisation  • Market assessment  • Market share and share‑of‑wallet analysis • Define, test, and refine model parameters, assumptions, and scenarios to ensure analytical robustness. • Champions the adoption of AI and advanced analytics techniques within MCI, identifying opportunities to automate research workflows and enhance the speed and quality of insight generation.    Data sourcing, integration & quality • Leads the sourcing and integration of multiple internal and external data sets, including emerging AI-driven data sources, to support quantitative insight.  • Perform data preparation, validation, and quality control to ensure accuracy, integrity, and transparency of outputs.  • Drives more systematic and scalable approaches to combining internal and external data across MCI projects, including identifying opportunities for AI and automation to improve efficiency.    Insight generation & communication • Translate complex analysis into clear, narrative‑based insights and recommendations for business stakeholders.  • Develop reports, presentations, and visual outputs — including AI-enhanced dashboards and tools — that communicate insight effectively • Balance detailed analytical work with big‑picture interpretation and commercial implications.