Principal – AI & Capability Excellence (Engineering) 

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Learn about our benefits designed for you to Thrive at work and at home. 

We boldly go.

Where is the work:

Why consider this role

Trane Technologies is excited to announce a strategic leadership opportunity for a Leader – AI & Capability Excellence (Engineering) within the India Engineering & Technology Centers (ETCs). ETCs are on a journey to accelerate capability-driven excellence by equipping talent with future-ready skills for sustained relevance and impact. This role will architect and drive the integration of AI as a core enabler within our Capability-Driven Organization framework — embedding AI across engineering workflows, strengthening strategic competencies, and institutionalizing measurable growth. This is a high-impact leadership role focused on strategy, governance, maturity modeling, and enterprise alignment — not execution ownership. Execution remains within capability teams; this role ensures structured transformation and measurable impact.

Thrive at work and at home:

• Inclusive Wellbeing Program, with resources to support your and your family’s physical, social, emotional, and financial well-being.
• Comprehensive learning and development solutions, designed to support our people in connecting and growing, including Higher education/Certification reimbursement.
• Sense of belonging & community through our Employee Resource Groups that foster our culture of inclusion.
• Volunteerism: 8 hours of paid time off per calendar year to volunteer with non-profit charitable organizations.
• The Trane Technologies Helping Hands Fund to support employees facing financial challenges due to unforeseen personal hardship.

Where is the work

Location: Bangalore / Chennai, India.

Work Arrangement - Hybrid: This position has been designated as a Hybrid work schedule, with work performed on-site 4 days each week.

What you will do: 

In this role, you will:

Architect AI-Enabled Capability Strategy

• Translate Enterprise AI direction and Engineering priorities into a structured India ETC AI & Capability roadmap.
• Define strategic pillars across productivity, domain differentiation, and institutionalized maturity.
• Align AI integration with MBSE, Digital Engineering, PLM, Controls, Manufacturing, and Advanced Analytics ecosystems.

Establish Capability-Driven Frameworks

• Design and deploy Capability Maturity Models across engineering functions.
• Embed Crawl–Walk–Run–Fly adoption frameworks for AI enablement.
• Establish governance mechanisms to convert pilots into institutionalized practices.

Enable Future Skills & Competency Development

• Lead competency mapping and future skills identification (AI/ML, Digital Twin, Industry 4.0, MBSE, Sustainability).
• Drive structured AI literacy programs and role-based workflow embedding.
• Establish AI capability stewards and transformation champions across teams.

Drive Strategic Alignment & Cross-Functional Integration

• Partner with capability leaders (Manufacturing, S/w Controls, Advanced Engineering, Data Science, PMO & System Integration) to embed AI into live engineering programs.
• Serve as the strategic interface between ETCs and Enterprise AI leadership.
• Ensure alignment to CTOs North Box and long-range planning objectives.

Measurement, Feedback & ROI Accountability

• Define measurable success metrics across productivity, quality, cycle time, rework reduction, and strategic conversions.
• Track adoption depth and institutionalization maturity across functions.
• Enable conversion of AI initiatives into business-funded programs demonstrating tangible ROI.

What you will bring:

• 15–20+ years of experience in Engineering Leadership, Digital Transformation, or Technology Strategy.
• Strong understanding of AI/ML applications in engineering, manufacturing, and digital systems.
• Proven experience designing capability transformation frameworks at scale.
• Expertise in maturity models, governance mechanisms, and KPI-based transformation measurement.
• Deep knowledge of engineering lifecycle environments (Design, Controls, Software Testing, Manufacturing, Digital, PLM/MBE).
• Strong cross-functional influence and executive communication capability.
• Ability to balance strategic vision with measurable execution outcomes.

Educational Qualification:

Bachelor’s or Master’s degree in Engineering, Computer Science, Digital Engineering, or related field.

Advanced certification in AI/ML or Digital Transformation preferred.

Career Break:

We have a Relaunch Program for professionals looking to restart their careers after a break. If you are taking a career break of at least 12 months and meet the work experience requirements, you are welcome to apply.

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.