Data Scientist Manager

Trane Italia•Davidson, NC

6d•$134,100 - $279,200•Hybrid

About The Position

As Data Scientist Manager, you will report to the AI in Engineering team leader and lead a multidisciplinary team of data scientists and software engineers delivering internal products to enhance engineering design. You will be responsible for delivery, technical standards, governance, and cross-functional execution for engineering intelligence platforms. This is a player-coach leadership role: you will develop a high-performing team while remaining technically engaged in architecture, reviews, delivery, and critical problem solving. You will collaborate with engineering, IT, cybersecurity, legal, and other partner organizations to deliver secure, reliable, high-quality capabilities.

Requirements

Master’s degree or PhD in a relevant technical field.
Twelve or more years of relevant experience, including management experience.
Experience managing data science, AI/ML, software engineering, or multidisciplinary technical teams.
Experience leading production AI/ML or engineering technology programs.
Experience with technical architecture and engineering standards.
Experience with GCP and cloud-based platforms.
Experience hiring, coaching, and developing technical talent.
Experience with governance, quality, security, and operational accountability.
Experience coordinating with engineering, IT, cybersecurity, legal, and other cross-functional partners.
Strong software engineering or data science background.
Experience with spec-driven development and AI-assisted software engineering.
Experience managing distributed or international teams.

Responsibilities

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 the use of spec-driven development, AI-assisted software engineering, and advanced code assistants.
Manage distributed and international collaboration, including India-based engineering roles.
Contribute hands-on to architecture, technical reviews, and critical delivery work.