Staff Data Architect, CNN Data Analytics, Science & Insights.

Welcome to Warner Bros.

Discovery... the stuff dreams are made of.

Who We Are...

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.

Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves.

Here you are supported, here you are celebrated, here you can thrive.

We are the now and the next.

The power behind the people building the future.

We are born from the spirit of innovation.

We are created from the idea that people around the world want more, need more, deserve more.

We are the home of the global digital revolution.

We are CNN.

To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!

To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!

We are CNN.

The world’s most essential and engaging source of digital news.

We are in the midst of rapid transformation and are looking for the next generation of innovators, makers, and dreamers to help lead our growth and shape the future of news.

Your New Role...

The Staff Data Architect plays a critical, hands‐on role in evolving and strengthening CNN’s modern data ecosystem.

This is a platform‐focused role for a senior technologist who thrives at scale—designing and implementing robust, performant, and governed data architecture that powers analytics, reporting, and decision‐making across the organization.

You’ll combine deep technical expertise with practical leadership, helping define architecture and modeling standards, mentoring engineers and analysts, and partnering closely with platform and analytics teams to deliver reliable, scalable data systems.

This role is ideal for someone passionate about improving time‐to‐insight, driving metric consistency, and building trusted semantic data models across a high‐impact analytics platform.