How Data Leaders and Infrastructure Architects Get Interviewed and Quoted as Expert Sources
Getting quoted or interviewed as a data infrastructure expert almost always comes down to the same thing: a specific, firsthand claim, offered to the right outlet, at the right time. Titles and years of experience help you get a reply, but a concrete point of view is what gets you booked.
What Editors are Actually Looking For
Editors covering data governance and AI infrastructure aren't looking for someone willing to comment generally on AI or data. They want the person who actually ran the migration, owns the governance policy, or made the call on where a workload runs, and can describe what happened in specific, attributable terms.
The main avenues
- Responding to journalist queries. Services like Connectively (formerly HARO), Qwoted, and SourceBottle send daily requests from reporters looking for sources, including data and infrastructure queries.
- A strong, specific LinkedIn presence. Editors search LinkedIn for people already talking publicly about data governance and infrastructure decisions, not just company news.
- Pitching trade publications directly. Most trade outlets, AI Data Press included, accept unsolicited pitches from people not already on an editor's radar.
- Industry podcasts. Podcast hosts are often easier to reach than journalists and are always looking for a guest with a specific story.
- Speaking and panels. Conference talks and webinars are a common way editors first notice a potential source.
How to Pitch Yourself to a Trade Publication
- Who you are: role, company, and why it's relevant.
- The one specific thing you can speak to: a decision you made, a result you can quantify, a contrarian view grounded in your own work (e.g. why you moved a database off a managed service, or what broke during a migration).
- Why now: a news hook, an early trend, or a lesson from something that just happened.
Keep it to a few sentences. A pitch that reads like a press release about your company, rather than a claim only you can make, gets skipped fastest.
Contributing to AI Data Press
AI Data Press covers data governance and the infrastructure behind production AI, and regularly interviews data leaders, database and platform engineers, and the architects accountable for AI systems running in production. Participation is free. There is no placement fee.
Pitch yourself at https://www.aidatapress.com/pitch-us.