The Sr. Director, AI drives Honeywell’s enterprise AI and automation strategy, deploying technologies that improve efficiency, scalability, and customer experience.

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Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

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As a Sr. Director Artificial Intelligence here at Honeywell, you will be responsible for defining and executing on Honeywell's strategic vision for artificial intelligence technologies.

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Skills and Qualifications:

• Deep knowledge of AI/ML, automation, and governance frameworks.
• Strong leadership in scaling AI use cases.
• Excellent vendor and stakeholder engagement skills.

Education and Experience:

• Bachelor’s in Computer Science, AI, or Engineering.
• 12–15 years of AI/automation leadership experience.
• Certifications in RPA, AI/ML platforms preferred.

US PERSON REQUIREMENT

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization

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Key Responsibilities:

• Lead AI and automation programs across Honeywell.
• Define AI governance, ethics, and compliance frameworks.
• Deploy automation solutions (RPA, chatbots, digital assistants).
• Partner with business leaders on AI/automation priorities.
• Drive adoption of AI in customer, supply chain, and operations.
• Monitor and evaluate AI/automation use cases.
• Ensure compliance with data privacy and AI regulatory standards.
• Build AI/automation centers of excellence.
• Develop enterprise KPIs and reporting for AI initiatives.
• Train teams on AI/automation platforms and governance.
• Manage vendor and technology partner relationships.
• Benchmark AI adoption against industry standards.
• Drive continuous improvement in automation efficiency.
• Ensure cybersecurity compliance for AI systems.
• Foster innovation through AI pilots and scaling successful cases.
• Report AI and automation outcomes to VP and senior executives.