Data Manager

Trane Italia•Minneapolis, MN

1d•Hybrid

About The Position

Trane Technologies seeks an experienced Data Manager to lead a diverse group of data engineers and analysts supporting data science, advanced analytics and self-service teams. In this role, you will bring an innovative approach to data, as we look to accelerate our data and analytics capabilities. As a player/coach, you will provide technical thought leadership to the team and have hands-on-keyboard when needed. Trane Technologies is a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, with a strong commitment to sustainability and reducing carbon footprints. The Residential HVAC business offers a broad portfolio of energy efficient heating, ventilation and air conditioning systems, air quality products, thermostats and parts support, under brands like Trane, American Standard, RunTru, Ameristar and Oxbox.

Requirements

BS/BA degree in computer science, MIS, analytics, engineering or similar
7+ years of experience in technical roles
3+ years in team lead or management role of a technical team
Knowledge of distributed computing or relational data systems such as Oracle or similar
Advanced SQL skills and knowledge of Python
Experienced with Cloud environments, preferably Google Cloud Platform and AWS
Knowledge of Git or other version control tools and a commitment to collaboration and code sharing
Familiarity with Dataiku and Tableau preferred.
Knowledge of ETL design for efficient data movement
Agile experience a plus.

Responsibilities

Lead a technical team to provide easily accessible data in the Google Cloud Platform based Trane Data Cloud (TDC) to the team and broader business.
Experience with Looker, semantic layers and enterprise data models to guide the team as we move towards the new technical approach.
Bring cloud experience and innovative thinking to data pipeline development, data mart creation, and self-service analytics support.
Partner with enterprise IT to ensure alignment with overall approach to data architecture and to get approvals for production.
Proactively engage with business leaders to prioritize and oversee data product development from requirements gathering through deployment in production.
Identify, assess and bring in new data sources to support self-service and advanced analytics work.
Support data quality improvement efforts.
Work directly with the advanced analytics/visualization and decision science team members on data structure to support and enhance sophisticated Tableau dashboards and machine learning or AI models.
Develop an expertise in Residential data, understanding source systems and Residential specific attributes required by the business for meaningful analysis.
Develop metrics to track improvements and proactively identify new issues.
Coach and mentor team members to grow technical and professional skills.