Director, Artificial Intelligence (AI)

The Director, Artificial Intelligence will lead the division’s AI-driven value creation agenda, using AI as a strategic business lever to drive measurable revenue growth, margin expansion, productivity gains, and compliance strength.

This is a business leadership role, not a technical specialist position. The role partners closely with commercial, operational, and functional leaders to identify, deploy, and scale AI initiatives that deliver tangible financial impact.

Key Responsibilities

• Own and deliver annual AI-driven EBITDA improvement targets.
• Build and manage a prioritized AI value portfolio aligned to divisional strategy.
• Build AI literacy and adoption across leadership and functional teams.
• Identify AI-enabled growth opportunities across pricing, products, services, and installed base monetization across the Division.
• Lead AI-enabled automation and process improvements across operations and SG&A.
• Scale proven AI use cases across business units to drive sustained performance.
• Ensure AI initiatives comply with enterprise governance, cybersecurity, data privacy, and regulatory standards.
• Establish measurable adoption and accountability standards.
• Manage external AI partners and vendors to accelerate time-to-value while minimizing risk.

Success Measures

• Sustained EBITDA contribution from AI initiatives.
• Embedded AI-enabled workflows across commercial and operational functions.
• Increased adoption and scalable, repeatable use cases.
• Reduced operational friction and strengthened compliance discipline.

Qualifications

Required

• 10+ years of experience in business leadership, operations, product management, analytics, or technology-enabled transformation.
• Proven ownership of financial outcomes (revenue growth, cost reduction, margin expansion).
• Experience prioritizing investments and leading cross-functional initiatives.
• Working knowledge of AI, advanced analytics, and modern digital platforms.

Preferred

• Experience deploying AI or analytics solutions in an enterprise environment.
• Experience managing external technology vendors.
• Exposure to industrial, manufacturing, or engineered product environments.
• Experience operating within enterprise governance frameworks.
• Deep technical model-building expertise is not required; the role requires strong AI fluency and business judgment.

Leadership & Work Environment

• This role may have supervisory responsibility and operates in a professional office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.