Associate Product Manager

About Euromonitor

Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.

The Associate Product Manager
will join Research Applications – Data Portfolio team in a permanent full-time role based in London
, hybrid model (minimum 3 days a week in the office), reporting to the Senior Product Manager.

The role connects business stakeholders across our Research department with internal and external engineering teams, helping build solutions that meet business objectives and create value to our internal – and subsequently, external - clients. Working across the data portfolio, you will capture requirements for systems, integrations, data workflows and enterprise intellectual property, and see them delivered on time and to a high standard.

This role suits an early-career product manager who pairs fluency in data technologies with strong delivery execution and stakeholder management. This is a rare opportunity to build your product management foundations on a high-visibility portfolio that sits at the heart of the company’s data and AI strategy.

1. Understand the business and the client
Understand who are our clients and why they consume our solutions; understand our business model, our unique value proposition and the company strategy; build deep knowledge on how Research teams produce data and how it reaches clients; build relationships with internal users to learn their workflows, constraints and pain points, and the commercial outcomes behind them.
2. Product Discovery
Use your knowledge on the business, on internal and external clients to judge which problems are worth solving and to ground product decisions in evidence; influence prioritization decision-making; autonomously run product discovery and data analysis to identify opportunities; help shape and maintain the roadmap; influence decisions on time vs scope vs resource trade-offs.
3. Technology domain
Apply your in-depth data domain knowledge partnering with architects and engineers to design data models, API contracts, systems integration, data pipelines and platform requirements representing client needs and business objectives. Design requirements for data products that people, systems and AI Agents can find, trust and reuse without rework.
4. Product Execution
Independently lead sessions with stakeholders and line manager to gather, analyse, and document business and technical requirements. Autonomously collaborate with architects, data, platform and software engineers to clarify feasibility and align on the technical solution that addresses those requirements. Coordinate implementation. Provide documentation, training and support to end-users.

5. Stakeholder management

Keep engineering, stakeholders and leadership aligned; manage expectations and provide regular updates;
Build and maintain strong relationships with stakeholders at all levels;
Communicate progress, issues and solutions effectively within the project team and across stakeholders and end-users;
Mentor junior team members.

• Experience with data platform, data workflow, ETL process, systems integration and APIs is a must-have.
• Solid knowledge on relational and non-relational data, structured and non-structured data is a must-have.
• Solid knowledge on system design principles is a must-have.
• Experience with hybrid architecture combining internal systems and AI agents
• 7+ years of experience working in Product Management domain in an Agile environment.
• Excellent communication skills and organisational skills. Oral and written fluency in English.
• Proficient in requirement gathering methodologies.
• Solid understanding of product discovery and product strategy concepts.

Desirable attributes:

• Experience with delivering requirements with data, platform and software engineers, and data scientists.
• Knowledge in data programming language (Python, SQL, R or other)
• D…