Leader, Engineering Data & Intelligence Strategy

Category Data Science & Analytics Job Id JR-18611 Corporate This job available in 2 locations Davidson, North Carolina, United States of America La Crosse, Wisconsin, United States of America 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. Job Summary Trane Technologies is seeking an Engineering Data & Intelligence Strategy Architect to advance the strategy, governance, and adoption of engineering data and knowledge capabilities supporting Engineering IQ, advanced analytics, and artificial intelligence. This senior individual contributor role, with no direct reports, will connect Engineering business priorities with the data foundations, standards, and organizational capabilities necessary to make information trusted, accessible, and reusable. Working across Engineering, Manufacturing, Procurement, Product Management, Service, and IT, the selected candidate will establish strategic priorities, guide data governance and stewardship, and partner with technical specialists to enable scalable solutions. The role will support engineering data domains including laboratory data, product lifecycle information, parts and materials, engineering documents, product configuration, and supplier data. The position will also help advance engineering taxonomies, ontologies, knowledge graphs, and semantic capabilities that enable Engineering IQ, digital-thread initiatives, and AI-driven engineering workflows. Responsibilities Develop and advance Engineering's data and intelligence strategy, aligning priorities with Engineering IQ, business objectives, and enterprise data and technology standards. Establish roadmaps and priorities for improving the accessibility, quality, governance, and reuse of critical engineering information. Partner with Engineering leaders and subject matter experts to identify business needs, define information requirements, and prioritize opportunities for analytics, data science, and AI. Establish and guide an Engineering data governance and stewardship operating model, including ownership, accountability, decision-making, and escalation processes. Partner with data owners, stewards, and technical architects to define and adopt common data definitions, classification standards, quality expectations, and ownership frameworks. Guide the development of engineering taxonomies, ontologies, and semantic standards supporting knowledge graphs, digital-thread capabilities, and AI initiatives. Collaborate with data architects, engineers, and IT teams to establish scalable, governed data foundations across engineering systems, including PLM, ERP, laboratory, and knowledge repositories. Identify opportunities to leverage automation and AI-assisted data engineering, classification, and stewardship to accelerate delivery and reduce costs. Facilitate cross-functional alignment and lead organizational change to promote adoption of common standards, processes, and data-driven ways of working. Partner with technical teams to identify and address data quality issues, integration challenges, and barriers to information accessibility. Establish measures of business value, adoption, data quality, and operational efficiency to evaluate progress and g…

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