Leader, Engineering Data & Intelligence Strategy

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 guide continuous improvement. Build partnerships across Engineering, business functions, and enterprise technology teams to promote reusable capabilities, shared accountability, and sustainable solutions. Ideal Qualifications and Competencies Bachelor's degree in engineering, data science, information systems, business, analytics, or a related field, or equivalent practical experience. At least eight years of experience in data and analytics, business strategy, technology, or digital transformation, including experience leading cross-functional initiatives. Demonstrated experience developing data and analytics strategies, roadmaps, governance frameworks, or operating models. Strong understanding of data management, analytics, data architecture principles, and the organizational capabilities required to support scalable data solutions. Experience translating business objectives into data, analytics, and technology priorities that deliver measurable value. Ability to lead through influence, build cross-functional partnerships, and align stakeholders in a complex, matrixed organization. Experience driving organizational change, stakeholder engagement, and adoption of new technologies or ways of working. Strong understanding of business intelligence, advanced analytics, data science, and emerging AI capabilities. Excellent communication, facilitation, problem-solving, and strategic planning skills. Ability to work independently, navigate ambiguity, and drive progress through collaboration and influence. Experience in manufacturing, engineering, or industrial environments is preferred. Familiarity with master data management, data governance, data quality, and stewardship practices is preferred. Familiarity with cloud data platforms, semantic models, taxonomies, ontologies, or knowledge graphs is preferred. Advanced degree in Data Science, Business Administration, Engineering, or a related field is preferred. Fourchette de salaire de base annuel ou fourchette de rémunération horaire de base : $113,600.00 - $235,500.00 Type de rémunération : Salaire Admissible à l’incitation : Yes Éligible à la commission sur les ventes : No AvertissementNous nous efforçons d’offrir une rémunération compétitive pour ce poste, adaptée à divers facteurs. La rémunération effective dépendra notamment de l’ancienneté, du mérite, de la localisation géographique, du niveau d’études, de l’expérience, des exigences en matière de déplacements et de l’appartenance syndicale. Notre fourchette de rémunération est généralement basée sur la moyenne nationale du pays. Par ailleurs, les avantages peuvent varier en fonction de la région, de l’organisation de l’entreprise, de l’implication syndicale et du statut de l’employé. Épanouissez-vous au travail comme à la maison : Les avantages sociaux sont accessibles DÈS LE PREMIER JOUR pour vous et votre famille, notamment l’assurance santé et des programmes de bien-être global offrant de généreuses mesures incitatives – NOUS OSONS PRENDRE SOIN DE VOUS ! Les avantages liés à la fondation d’une famille comprennent la prise en charge des traitements de fertilité ainsi qu’une aide à l’adoption et à la gestation pour autrui. Les congés payés comprennent jusqu’à 15 jours de congés, des jours fériés payés, des congés maladie et d’autres options pour soutenir le bénévolat et les congés parentaux. Abondement au 401K, possibilités de formation et de développement grâce aux programmes de l’entreprise, ainsi qu’une aide aux frais de scolarité et au remboursement de la dette étudiante. Avis : Les avantages proposés peuvent varier selon le site, les conventions collectives et les réglementations locales/de l’État Poste à sensibilité en matière de sécurité No L’entreprise désigne certains postes comme étant sensibles à la sécurité. Les postes sensibles à la sécurité peuvent nécessiter la réussite de contrôles supplémentaires de dépistage de drogues. Ce poste est considéré comme sensible à la sécurité : Nous offrons une rémunération compétitive ainsi que des avantages et des programmes complets. Nous sommes un employeur garantissant l’égalité des chances ; tous les candidats qualifiés seront considérés pour un emploi sans distinction de race, de couleur, de religion, de sexe, d’orientation sexuelle, d’identité de genre, d’origine nationale, de grossesse, d’âge, de statut marital, de handicap, de statut de vétéran protégé ou de tout autre statut protégé par la loi.