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.