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  • Model-Based Factory Modeling Leader

    Trane Technologies (Davidson, NC)



    Apply Now

    At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

    Thrive at work and at home:

    + Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!

    + Family building benefits include fertility coverage and adoption/surrogacy assistance.

    + 401k match up to 6%, plus an additional 2% core contribution = up to 8% company contribution!

    + Paid time off, including in support of volunteer and parental leave needs.

    + Educational and training opportunities through company programs along with tuition assistance and student debt support.

    + Learn more about our benefits here!

    Job Summary:

    Trane Technologies is seeking a **Model-Based Factory Modeling Leader** who will lead a high-performing team of engineering and data science professionals to drive innovative system solutions and technologies within the Advanced Technology and Advanced Manufacturing (AMT) space. This leader will collaborate with business units, enterprise engineering, and IT to accelerate factory digitization and product development capabilities using agile tools and a strategic mindset.

     

    This position is designated as a Hybrid work schedule with work performed on-site 3 days each week.

    Core Job Responsibilities (others may be added):

    + Lead Digital Factory Modeling & Simulation for the enterprise, including roadmaps, development, deployment, tech scan and screen and external partnerships to drive productivity in the factories.

    + Drive manufacturing operation from traditional 3P (Production Preparation Process) to the digital age by communicating and driving value.

    + Define, recommend and execute new technologies and tools for innovation, integrated and interoperable with the Trane Technologies’ Model Based Enterprise platform, as well as other key Trane Technologies’ databases and tools to provide a seamless integration of engineering and manufacturing processes.

    + Factory Interaction: Interface with manufacturing leaders to understand requirements, suggest solutions and interpret and present results.

    + Cross-Functional Collaboration: Partner with Advanced Manufacturing Technologies (AMT), AME and engineering teams to accelerate factory digitization, standardization and Industry 4.0 capabilities.

    + Training and Mentorship: Mentor engineers and provide guidance and leadership on requirements optimization, Lean processes, change management and meaningful interpretation of results resulting in improved factory efficiency and digital standardization.

    + Project Management: Manage multiple complex projects, ensuring timely completion and alignment with goals.

    + Develop standard work and business operating procedures related to Digital Factory manufacturing adoption and deployment to Trane Technologies’ factories and new product development projects.

    + Evaluate and recommend the most adequate vendors, tools and processes to capture and optimize stakeholder and system requirements, facilitate full data traceability and data integrity, and enhance a culture of model-based digital and concurrent engineering.

    + Continuous Improvement: Seek ways to improve collaborative engineering and manufacturing processes.

    + Manage strategic sourcing relationships and outsourcing agreements globally in collaboration with the procurement and IT organization.

    Minimum Qualifications:

    + Bachelor’s Degree in Engineering (or related discipline) and at least 8-years of manufacturing experience with strong emphasis on process and application expertise, material flow optimization, robotics and automation is required.

    + Master’s Degree is preferred but not required.

    + Experience leading a global professional, technical team is strongly preferred.

    Essential Skills or Knowledge:

    + Expertise with Digital Factory M&S (ex: Dassault Delmia or Siemens Tecnomatix).

    + Proven track record of hands-on in global manufacturing operations, driving Lean initiatives and Continuous Improvement projects with measurable impact.

    + Experience with Advanced Manufacturing tools and technology (e.g., PLM, ERP, MES, SCADA).

    + Proven experience leading complex projects with measurable impact; Manufacturing floor process improvement preferred. Experience with Agile project processes a plus.

    + Proficiency in digital factory technologies, data science, and analytics tools.

    + Proven ability to build, lead and mentor high-performing teams.

    + Ability to define and promote strategies/roadmaps for digital factory and data science initiatives.

    + Expertise in managing multiple complex projects and ensuring timely completion.

    + Ability to partner with global teams to drive innovation, digitization, and standardization.

    + Experience building and managing AI, data science and analytics solutions, preferred.

    Compensation:

    Base Salary Range: $108,000 - $224,000. Disclaimer: This pay range is based on US national averages. Total compensation will also include an annual bonus target. Actual pay is a result of seniority, merit, geographic location where the work is performed.

     

    We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

     


    Apply Now



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