Who I Am#
Since 2005, I’ve worked virtually every role in data engineering: engineer building DWH stars and ETL pipes, analyst debugging SQL queries at 2 AM, business intelligence consultant refining pixel-perfect dashboards, project manager herding cats on country-scale implementations.
Along the way, I launched several companies: some in AI, some adjacent, all educational in their own special ways. Most failed. A few succeeded. All taught me something about the gap between what executives think they need and what actually moves the needle.
I’ve spent two decades on both sides of the corporate fence: leading IT projects within enterprises, selling B2B solutions to enterprise buyers and running startups that barely made payroll. This dual perspective –vendor and customer, consultant and founder – shapes everything I write here.
My Point of View#
I’m bullish on AI progress and technological advancement—genuinely excited about what’s possible. But I’m skeptical of hype cycles that ignore human factors: change management, team capability, organizational readiness. The real bottleneck in AI adoption isn’t compute power or model performance. It’s culture, governance, and the messy human work of transformation.
This is a personal blog –highly opinionated and unfiltered. Nothing here reflects the positions of any current or former company I work for, am affiliated with, or provide services to. These are my views, shaped by my successes and failures, not corporate talking points.
What I Write About#
I write about the gap between AI hype and AI reality — for founders, CTOs, and data leaders living in that gap.
Recent pieces:
- The $2M Mistake: Why Data Team Building Beats Architecture Every Time — the counterintuitive lesson from a costly architecture-first bet
- The Startup Tech Team Playbook for 2026 — a field guide for building high-output data and AI teams under resource constraints
- How to Hire a Tech Team in the Era of AI — sourcing, assessing, and closing senior technical talent in a market reshaped by AI
- Process Redesign, Not Process Patching — why 80% of AI projects are solving the wrong problem
Get in Touch#
I’m at andrew@andrewbush.org or find me on LinkedIn.