We use cookies to improve your experience, analyse site traffic, and serve personalised ads via Google AdSense. By clicking Accept you consent to our use of cookies. Learn more in our Privacy Policy.

K
Kinsale Management, Inc

Senior Data Architect

Data & Analytics
2 weeks, 2 days ago

Are you a visionary problem-solver ready to architect the future of enterprise-scale platforms? At Kinsale Management, Inc., we are redefining the landscape of the excess and surplus lines insurance industry through a relentless commitment to innovation and high-performance engineering. As a Senior Data Architect within our Data & Analytics team, you will be the bridge between complex business challenges and cutting-edge technical solutions, designing the robust data ecosystems that power our strategic decision-making. If you thrive on building scalable, resilient architectures and want to leave your mark on a company that values agility and data-driven insight above all else, this is your opportunity to lead from the front.

In this high-impact role, you will do much more than manage data; you will serve as the master builder of our technological foundation, collaborating with cross-functional teams to harmonize data flow across our entire enterprise. Whether you are optimizing existing frameworks or architecting next-generation solutions from the ground up, you will enjoy the autonomy to experiment with modern technologies and the support of a culture that rewards bold thinking. At Kinsale, we believe in empowering our people to push boundaries, making this the perfect home for a talented architect who is eager to transform abstract data concepts into tangible, real-world competitive advantages.

Requirements

  • Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
  • Experience with statistical programming languages like R or Python.
  • Ability to derive actionable insights from large, complex datasets.
  • Strong mathematical background and analytical thinking.
  • Experience with data warehousing and ETL processes is beneficial.
  • Degree in Statistics, Mathematics, Economics, or a related field.

📩 Get the latest verified job alerts in your inbox.

Enter your email to receive daily job updates—for free. Plus, get an exclusive career resource instantly when you subscribe!

Get weekly career tips and new job alerts.