Market Insights & AI Manager

Eedu Open · verified Sep 19, 2026

Lisboa Full-time Manager Market Research

Mid-level Market Research role at Eedu. Lisboa · full-time.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Lead market research by finding sources, combining evidence, and delivering insight with AI tools
Own strategic research projects while aligning scope and timelines with stakeholders
Build quantitative views for market sizing, landscapes, prospect evaluation, whitespace, prioritization, and share of wallet
Test model assumptions and scenarios to maintain analytical rigor
Combine internal and external data, validate outputs, and turn findings into reports, dashboards, and recommendations

What you bring

A strong record of turning data into actionable insight through quantitative research
Advanced Excel capability covering complex formulas, data models, and scenario work
Experience creating or using Power BI dashboards or comparable business intelligence tools
Knowledge of research methods plus business and market strategy
Clear communication, project management, accuracy, and the ability to work independently across multiple deadlines

Who this fits

This role suits a self-starting, detail-focused manager who can work independently and engage stakeholders at every level. You’ll balance rigorous analysis with commercial interpretation and clear storytelling. The position is full-time in Lisboa, Portugal; Python, SQL, and applied AI or automation experience are desirable.

From the employer

About Us

WTW is an award-winning advisory, broking, and solutions company that supports clients worldwide in transforming risk into opportunities for growth. With a rich insurance heritage dating back to 1828, from the Titanic in 1912 to the Moon Buggy in 1971, WTW brings deep industry expertise and longstanding experience.

The Opportunity

Market and Client Insights (MCI) is a corporate function serving all Willis Towers Watson geographies, segments and corporate functions. Our mission is to provide research and insights regarding markets, clients, prospects, industries and competitors to drive revenue growth through more effective sales, marketing, and innovation.
The Market Insights Manager will play a high-impact role in designing and delivering robust, data‑led insight — increasingly powered by AI and advanced analytics — that supports opportunity identification, market sizing, sales targeting, and strategic decision‑making. The role combines strong analytical and modelling skills with commercial understanding, stakeholder engagement, and the autonomy to lead work independently and work alongside senior stakeholders.

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.