Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane® and Thermo King , sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires. About the role As Data Scientist Manager, you will report to the AI in Engineering team leader, and lead a team of exceptional data scientists and software engineers to deliver bleeding edge internal products to enhance engineering design. You will be responsible for delivery, technical standards, governance, and cross-functional execution required to build and operate engineering intelligence platforms. This is a player-coach leadership role. You will develop a high-performing multidisciplinary team while remaining technically engaged in architecture, reviews, delivery, and critical problem solving. You will work across engineering, IT, cybersecurity, legal, and other partner organizations to ensure that the team delivers secure, reliable, high-quality capabilities. What you will do Lead delivery of engineering intelligence platforms and shared technical capabilities. Manage, coach, develop, and retain a multidisciplinary technical team. Establish architecture and engineering standards across components and use cases. Own governance, quality, operational accountability, and delivery discipline within the team. Coordinate with engineering, IT, cybersecurity, legal, and other partner organizations. Lead hiring, team formation, capability development, and succession planning. Provide technical direction for AI/ML, software, data, cloud, and platform work. Support production deployment, reliability, security, and operational readiness. Guide to the use of spec-driven development, AI-assisted software engineering, and advanced code assistants. Manage distributed and international collaboration, including India-based engineering…