Marketing at Euromonitor is entering a genuinely exciting period. We’re building a super-modern, AI-agentic marketing function, one that’s data-driven, automated and commercially focused from the ground up, designed for how B2B marketing will work in 2030, not how it worked in 2015.
This is the kind of opportunity that comes along rarely: joining at the point where the tools, the workflows and the ways of working are still being defined, not maintained. If you’ve got the drive to do things differently, to build something better rather than just operate inside what already exists, this is exactly the environment for you.
It’s an ambitious moment, and it calls for people who want to be at the forefront of that change: restless, commercially minded, and excited by what AI and great data can do for a marketing function when they’re built in properly from day one.
This is a permanent, full-time role based in Cape Town, South Africa, reporting into senior marketing leadership. It exists to make sure marketing’s data actually works for the business: data lives across a number of different systems, and how well it’s structured and connected determines how good marketing’s reporting, targeting and decision-making can be. This role owns that problem: understanding how data currently moves between systems, recommending how it should be structured and connected instead, and turning the result into reporting that helps marketing spot opportunities and risks early.
It also plays a leading role in a specific opportunity: getting Euromonitor’s own data, the market and consumer intelligence available through the Passport platform, into marketing’s own communications and content. Euromonitor sells data and insight for a living; this role helps marketing use that same strength to tell a sharper, more credible story about the business itself.
You’ll work closely with technical and platform teams throughout, so you should be comfortable operating alongside the people who build and maintain these systems, understanding broadly how they work and how data flows between them, even though this isn’t a hands-on engineering role. You’ll use AI tools throughout to get there faster.