Associate Product Manager

Euromonitor International; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salaries

Enhanced healthcare and pensions

Generous holiday allowances

Hybrid working

Core Hours policy

Job summary

Euromonitor International is hiring an Associate Product Manager for the Research Applications – Data Portfolio team in London. This permanent, full-time role is hybrid (minimum 3 days in the office) and reports to the Senior Product Manager.

You will bridge business stakeholders with engineering teams to deliver data products, APIs, and integrations that meet client needs. The role suits an early-career PM with strong data tech fluency and delivery focus, offering high-visibility work at the

Qualifications

• 7+ years in Product Management in an Agile environment.
• Experience with data platform, data workflows, ETL and APIs.
• Strong knowledge of relational and non-relational data.
• Solid knowledge of system design principles.
• Experience with hybrid architecture and AI agents.
• Excellent written and spoken English.
• Proficient in requirements gathering methodologies.
• Solid understanding of product discovery and product strategy concepts.

Responsibilities

• Understand clients, business model, value proposition and workflows.
• Lead product discovery and maintain the roadmap.
• Design data models, API contracts, data pipelines and platform requirements.
• Lead sessions with stakeholders to gather and document requirements; coordinate implementation.
• Maintain relationships with stakeholders and provide regular updates; mentor juniors.

Skills

Data platform experience

Data workflows

ETL processes

APIs

Relational data

Non-relational data

System design principles

Hybrid architecture

Agile product management

English communication

Requirements gathering

Product discovery

Product strategy

Education

Degree in Computer Science / Information Systems / Statistics

Master’s degree is a plus

Job description

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.

Purpose of the role

The Associate Product Managerwill 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.

Key accountabilities

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.

Key accountabilities

• 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)
• Degree in Computer Science, Information Systems, Statistics or a related field. A master’s degree is a plus.

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Why work for Euromonitor?

Our Values:

• We seek individuals who act withintegrity
• We look for candidates who arecuriousabout the world
• We feel that as a community, we’re strongertogether
• We seek toenable people to feelempowered
• We welcome candidates who bring strength indiversity

International:not only do we have a very multinational workforce in each office but we communicate across our 16 offices worldwide on a daily basis.

Hardworking and sociable:our staff know how to work hard and know also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of other groups to be involved with.

Committed to making a difference:We believe that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It gives all new starters a donation amount on joining us which they can give to a charity of their choice.

• Excellent benefits:we offer competitive salaries, enhanced healthcare and pensions, plus generous holiday allowances, hybrid working and, in many offices, a Core Hours policy allowing flexible start and finish times to each day.

• Opportunities to grow:we offer extensive training and development opportunities at all levels. The vast majority of our Managers and Directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent.

Equal Employment Opportunity Statement:Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.