You don't need to hire a data team. You need one that already works.

We assign a dedicated team to your account. They work in your codebase, your Slack channels, your cloud environment. Flexible support agreements with adjustable scope mean you can redirect the team's focus as priorities shift. Most clients start with one workstream and expand as they see what a functioning data operation looks like.

This is not body-shop contracting. We bring an operating model, not just people. Your team gets a technical lead who owns the architecture, engineers who write tested and documented code, analysts who build reporting your executives read, and specialists in data science, ML, or software development when the work calls for it. We run standups, manage sprints, and deliver work product the same way an internal team would. When your priorities shift, the team adapts without a new hiring cycle.

From our podcasts: People as Problem and Solution in Data Leadership with Nicole Radziwill, and From Pipelines to People: Building Data Teams with Lindsay Murphy.

Organizations at any stage where data work exceeds internal capacity. That includes growth-stage companies where work is piling up faster than the team can handle, and earlier-stage organizations where hiring a three-person data team would be overkill and operationally ineffective because nobody has the bandwidth to manage them. We work with biotech companies running clinical data through complex pipelines, e-commerce brands consolidating Shopify, Amazon, and warehouse data, financial services firms automating trade operations, and healthcare companies building their first real data infrastructure. The industries differ. The need is the same: reliable data work from people who have seen your problems before.