Why Skills Alone Won’t Prepare You for a GIS Career Pivot
Most GIS professionals focus on learning new technical skills when they want to move forward in their career. Python, SQL, cloud tools, spatial data engineering, analytics. And yes, these skills matter. They open doors that traditional GIS workflows never could.
But there is something most people miss.
Learning the right skills is not enough to prepare you for the career pivot you want.
To explain why, we need to pick up from where the last story ended. I had spent years building my technical foundation. I finally understood databases, programming, analytics, cloud tools, and modern GIS workflows. I thought the next phase of my career would be all about using those skills on my own.
I was wrong.
The next phase was learning how to use those skills to help other people grow.
From Individual Contributor to Leading a Global Spatial Team
In 2019, my career took an unexpected turn. Almost overnight, I became the manager of a small team. At first it was just two of us. Within a few years, that team grew into a group of twelve geospatial professionals spread across the world.
Building that team has been one of the most meaningful chapters of my career.
I discovered that creating an environment where people can grow, learn, and contribute at a higher level is incredibly rewarding.
Everything I picked up during my seven years of self-learning suddenly became a roadmap I could use to help others.
I had struggled with direction. I had learned without structure. I had pieced together a path that didn’t exist at the time. So when it came time to build a team, I made sure no one had to take the long way around.
The energy we built together became the foundation for everything that happened next.
Why That Team Worked So Well
There were two things that made the team thrive, even though everyone came from different backgrounds and experience levels.
1. Shared energy and curiosity
Some people joined with strong technical skills and needed spatial fundamentals.
Others came from Esri-heavy workflows and needed Python, SQL, data science, or cloud fundamentals.
Some were beginners. Some were experts.
What they shared was enthusiasm. That energy created momentum.
Everyone learned faster because they were learning together.
2. Clear learning paths with real outcomes
My own difficult learning journey gave me clarity about what mattered and what did not.
I could point people toward:
- the right foundational skills
- the right tools for their level
- the right sequence of learning
- the next milestone to aim for
And because the learning was aligned with real work, the outcomes were measurable. Promotions. Expanded responsibilities. More efficient workflows. More confidence. More opportunities across the company.
Our team became one of the highest performing groups in the organization, not because we were the smartest, but because we built a shared roadmap and followed it together.
How That Experience Led to LinkedIn, YouTube, and Everything That Followed
The energy inside that team is the reason I started creating content publicly.
The conversations we had, the breakthroughs I watched people experience, and the way their careers changed showed me the impact that clarity and community can make.
I realized that thousands of GIS professionals were facing the same challenges:
- learning alone
- unclear what to study next
- unsure how to transition out of traditional GIS
- stuck between “I know maps” and “I want to learn data engineering or AI”
- lacking peers who understand the work
Posting on LinkedIn and creating videos became a way to share the same clarity I was giving my team.
And the response showed me how needed it was.
Why I Built the Spatial Lab
Everything I learned from managing that team now lives inside the Spatial Lab. It is the place where I get to help GIS professionals grow the same way I did internally.
Recent sessions covered:
- Setting up PostGIS and integrating it with QGIS
- Understanding cloud-native geospatial formats
- Working with Apache Airflow
- Hands-on hot seats processing US flood zone data
- Mapping out GIS career pivots and next steps
And the courses continue that same structure:
- Career Compass for navigating the new GIS job landscape
- Modern GIS Accelerator for mastering core modern geospatial skills
- Bricks for geospatial data engineering and spatial data science
- AI Copilot for GIS to help professionals make the most of AI tools
It is learning, but with support.
It is technical, but with clarity.
It is challenging, but in a way that moves your career forward.
And the wins in the community are already showing exactly why this model works.
If this approach resonates with you, I invite you to explore the Spatial Lab.
You don’t have to learn alone anymore.
The Part of the Story I Didn’t Expect
Building a team taught me something I wasn’t looking for.
It revealed the skill that no one talks about when they talk about GIS career pivots.
It’s not SQL.
It’s not Python.
It’s not cloud.
It’s not data engineering.
And it’s not AI.
It’s something completely different.
And I didn’t discover it until I had been posting consistently on LinkedIn for a few years.
More on that in the next article.
