Skip to content
Inside SEP: What a Real Data Strategy Looks Like in Software Development episode artwork

Jun 25, 2026 40 min

Inside SEP: What a Real Data Strategy Looks Like in Software Development

from Behind The Product

SEP has been building software products for over 30 years, but data as a dedicated practice is newer. In this episode, Zac Darnell sits down with SEP's Director of Data, Jason LaJeunesse, and Solution Architect Jason Dossett to unpack how SEP thinks about data: what it is, why it matters now more than ever, and what companies get wrong when trying to move fast on AI without the right foundation underneath it. The conversation moves from definitions (what "data as a product" actually means versus the operational databases most software shops have always built) to the real-world patterns SEP has seen work (and fail) inside energy, aerospace, and other complex organizations. We dig into how modern data platforms have shifted from a single analyst's concern to a strategic business asset, why the rise of agentic AI has made governance non-negotiable, and what an incremental goal-oriented approach to data strategy actually looks like in practice. The Jasons also make the case that the biggest gap inside most organizations isn't technology. It's enablement. Takeaways from this episode: Data as a service isn't about operational databases powering apps. It's about centralized, strategic platforms with downstream use cases across the business Analytics engineering applies software engineering disciplines (version control, DevOps, automated documentation) to data work, and it's a natural fit for SEP's background LLMs don't have your business context. Without good data grounding, governance, and role-based access controls, agentic systems can't operate safely The "big bang" approach to governance almost always fails. Start goal-oriented, slice vertically, and let governance mature incrementally Many organizations are missing an enablement layer, someone who bridges the platform team and the people trying to use it Platform engineering is becoming a more critical discipline as AI commoditizes work below the platform level We'd love to hear from you! Reach out to [email protected] to share your feedback on this show. You can find more information about this podcast at sep.com/podcast and subscribe wherever you get your podcasts. Thanks for listening!

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Inside SEP: What a Real Data Strategy Looks Like in Software Development

0:00 40:06

Chapters

  1. 4:20 The Evolution of Data in Business
  2. 10:34 The Evolving Role of Data in AI Strategies
  3. 20:01 Incremental Approaches in Data Strategy
  4. 27:38 Bridging the Gap Between Technology and Users
  5. 33:02 The Future of Data and AI
  6. 39:20 The Future of Data Governance and AI Integration

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Behind The Product?

This episode is 40 minutes long.

When was this Behind The Product episode published?

This episode was published on June 25, 2026.

Can I download this Behind The Product episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.