AI Engineering Lead, Data Science & Platforms

Trane Italia

Davidson (NC)

On-site

USD 134,000 - 279,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

401K match

Tuition assistance

Student debt support

Paid time off

Job summary

Trane Technologies is seeking a Data Scientist Manager to lead a multidisciplinary team delivering engineering intelligence platforms across the organization. You will report to the AI in Engineering team leader and guide architecture, governance, and delivery while staying technically engaged.

Based on a world leader in climate solutions, this role supports on-site work Monday-Thursday with flexible Friday locations and requires a Master’s or PhD with 12+ years of experience in AI/ML, cloud,

Qualifications

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.

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 to 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.