Chad Castanheiro
Chad Castanheiro VP of Engineering and Quality Assurance at Wheels Up brings experience in private aviation software and aerospace modernization. His leadership emphasizes critical thinking collaboration and trust guiding teams to balance innovation with safety compliance and reliability across complex operations.
Quality in Aerospace Starts with Critical Thinking
When I think about quality and reliability in aerospace, I do not think about them as something that happens at the end of the process. I think about them as part of how the operation runs every day.
My perspective comes from building and scaling software in private aviation, where technology has to support real decisions made by real people. Earlier in my career, I co-founded and developed a SaaS platform for private aviation that supported thousands of users across all facets of a private aviation company. After the company was acquired, I continued leading teams through scale, modernization, integrations, cloud transformation, and process improvement.
I did not get everything right along the way. Failing quickly, listening to users, and improving the product through iteration is how I grew as an engineer and leader. In aerospace, assumptions do not last long once they meet real operations. That experience taught me to value feedback, practical problem-solving, and teams that are willing to keep improving instead of defending the first version of an idea.
That is also why I believe quality has to be built into the work from the beginning. QA cannot just be the group that checks something after engineering is done. The best results happen when engineering, quality, product, and operations are close enough to understand the risk, the workflow, and the impact of what is being built.
Balancing innovation with safety and compliance is one of the hardest parts of this industry. Many organizations are still working through legacy systems, disconnected workflows, manual processes, and data that is harder to trust than it should be. Innovation cannot just mean adding new technology. It has to make the operation safer, clearer, faster, or more reliable.
That is how I try to look at modernization. Cloud platforms, event-driven systems, automation, and AI can all create value, but only when they are implemented with the right controls and enough transparency for people to trust them. If a system is powerful but nobody can explain how it works or why it made a decision that becomes a new kind of risk.
From a leadership standpoint, I believe strong teams need clarity, ownership, and trust. People need to know what matters, why it matters, and where the standard is. Just as important, leaders have to create an environment where people are comfortable raising concerns, challenging assumptions, and slowing something down when the risk requires it. Moving fast matters, but moving fast without control is not leadership. The best teams move with discipline.
The biggest challenges I see for aerospace organizations today are complexity, legacy modernization, workforce transition, cybersecurity, and data quality. A lot of companies are being asked to become more efficient and digitize processes while still operating on older platforms and processes. At the same time, AI is changing the way engineering and quality teams work. The challenge is not just learning new tools, but figuring out how to use them responsibly to improve testing, documentation, decision support, and risk detection while still keeping human judgment at the center.
Leaders need to prepare by investing in strong systems, better data foundations, and teams that understand both technology and operations. Technology transformation cannot be treated as a side project. In aerospace, it has to connect directly to the workflows that keep the business moving and the operation safe.
Looking ahead, I believe AI, automation, and predictive quality will have a major impact on engineering and quality assurance. AI can help teams find patterns earlier, improve testing coverage, identify risk, and support better decisions. But what I have found is that even with AI, you need a solid process and judgment to make sure things run smoothly.
For people entering the field, my advice is to build technical depth, but do not stop there. Learn to be a critical thinker. Understand the tools, architecture, and engineering practices, but also learn how the work connects across the operation. The best engineers and quality leaders are not just the ones who know the technology; they are the ones who ask better questions, challenge assumptions, understand risk, and think through how a decision in one area can affect the entire operation.
At the end of the day, aerospace has taught me that trust is earned in the details. It is earned when systems are reliable, when teams communicate clearly, and when people are willing to keep improving instead of assuming the first version is good enough. That is what keeps me grounded in this work. The technology will keep changing, but the responsibility stays the same: build things people can depend on.
