Market Insights & AI Manager

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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.

Eligibility

• Strong analytical mindset with a proven track record of turning data into clear, actionable insight.
• Demonstrated experience in quantitative research, market sizing, market landscaping, workflow analysis, or pricing analysis, with a track record of driving projects with minimal oversight.
• Advanced Excel skills, including complex formulas, data modelling, and scenario analysis as standard practice.
• Experience building or working with Power BI dashboards or similar business intelligence tools.
• Experience with a wide range of research tools, techniques, and sources
• Foundational knowledge of the elements of business and market strategy, and the ability to apply to market and company research to generate insights and recommendations
• Exceptional written and oral communication skills, with a demonstrated ability to work with stakeholders, collaborate with colleagues, and fulfil business needs
• Strong project management skills and ability to manage multiple projects simultaneously, setting clear milestones and meeting deadlines
• High level of attention to detail and focus on accuracy
• Self-starter capable of proactive investigation and analysis
• Team player capable of working in the best interests of the firm
• Strong attention to detail, with a clear focus on data quality and analytical integrity.
• Excellent written and verbal communication skills, with the ability to engage and influence stakeholders at all levels.

Desirable

• Proficiency in Python and/or SQL, with experience applying AI/machine learning techniques to research automation and analytics.
• Practical experience applying AI, GenAI, or automation tools (e.g. Python, SQL, Copilot/GenAI platforms) to enhance research efficiency, data processing, or insight generation.
• Experience working in market insight, market intelligence, strategy, research, or competitive analysis roles.
• Knowledge of financial services, investments, pensions, or regulated environments.