Leader, Engineering Data & Intelligence Strategy

Trane Italia; Davidson (NC); On-site; USD 114,000 - 236,000; Full time

Benefits offered by this job

Health insurance

401K match

Paid time off

Job summary

Trane Technologies is seeking an Engineering Data & Intelligence Strategy Architect to advance data strategy, governance, and adoption for Engineering IQ and AI-driven workflows. The role connects engineering priorities with data foundations, guiding governance and scalable solutions across PLM, ERP, and laboratory data.

The senior contributor will drive taxonomies, ontologies, and semantic standards, partnering with data owners and IT to enable trusted, accessible information and measurable

Qualifications

• Bachelor’s degree or equivalent practical experience in a related field.
• Eight+ years of data/analytics, strategy, technology, or digital transformation experience.
• Experience building data governance, roadmaps, and operating models.
• Understanding of data management, architecture, and governance for scalable solutions.
• Ability to translate business objectives into data/tech priorities with measurable value.
• Strong influencing, cross-functional partnership, and stakeholder alignment skills.
• Experience driving organizational change and adoption of new tech/workflows.
• Knowledge of BI, analytics, data science, and AI capabilities.
• Excellent communication, facilitation, problem-solving, and planning skills.
• Experience in manufacturing/engineering environments preferred.
• Familiarity with master data management and data quality practices preferred.
• Familiarity with cloud data platforms and knowledge graphs preferred.
• Advanced degree preferred in related fields.

Responsibilities

• Develop and advance Engineering data and intelligence strategy aligned with Engineering IQ and enterprise standards.
• Establish roadmaps to improve accessibility, quality, governance, and reuse of critical engineering information.
• Partner with leaders to identify needs, define information requirements, and prioritise analytics, data science, and AI opportunities.
• Create and guide an Engineering data governance and stewardship operating model with clear ownership and escalation.
• Define common data definitions, classifications, quality expectations, and ownership frameworks.
• Guide development of taxonomies, ontologies, and semantic standards for knowledge graphs and digital-thread initiatives.
• Collaborate with architects, engineers, and IT to build scalable, governed data foundations across PLM, ERP, labs, and knowledge repos.
• Identify opportunities to leverage automation and AI-enabled data engineering to accelerate delivery and reduce costs.
• Lead cross-functional alignment and drive adoption of standards and data-driven ways of working.
• Address data quality, integration challenges, and barriers to information accessibility with technical teams.
• Establish measures of value, adoption, and efficiency to guide continuous improvement.
• Build partnerships across Engineering, business functions, and enterprise tech teams for reusable capabilities.

Skills

Data strategy

Cross-functional leadership

Data governance

Analytics concepts

Communication

Independent work

Ambiguity navigation

Manufacturing/engineering experience

Strategic planning

Education

Bachelor’s degree in engineering, data science, information systems, business, analytics, or related field

Advanced degree preferred (Data Science / Engineering / MBA)

Tools

Cloud platforms

Semantic models

Taxonomies & ontologies

Knowledge graphs

Job description

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 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.

Annual Base Salary Range or Hourly Base Pay Range:

$113,600.00 - $235,500.00

Compensation Type:

Salary

Incentive Eligible:

Yes

Sales Commission Eligible:

No

Disclaimer : We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

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.
• Paid time off includes up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave.
• 401K match up, educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations

Safety Sensitive Role:

No

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

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.