As a Director of AI here at Honeywell, you will set the strategic direction and ensure the successful delivery of our technology projects. Collaborating closely with senior executives and cross-functional teams, you'll align IT project strategies with our business objectives, driving innovation. You will manage planning, execution, and delivery, ensuring our projects meet quality, budget, and timeline expectations. If you're a visionary leader with a passion for guiding technology initiatives and building high-performing teams, this role offers a platform to leave your mark on the technology industry.

You will report directly to our Senior Director of IT and you will work out of our Phoenix, AZ, Charlotte, NC or Atlanta, GA location on a Hybrid work schedule.

In this non-people leader role, you will drive AI strategic direction, research, and prototyping to accelerate enterprise innovation, ensuring they align seamlessly with our business objectives. By overseeing a team of skilled IT project managers, you'll be instrumental in delivering successful technology projects on time and within budget and setting new standards for excellence. Join us, and together, we'll redefine the boundaries of technology at one of the globe's premier industrial technology companies.

YOU MUST HAVE

• Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics
• 8 plus years of experience in IT project management, including at least 5 years in a leadership or managerial role.
• Strong leadership skills with the ability to inspire and mentor a high-performing team.
• A proven track record of successfully delivering complex IT projects, meeting quality, budget, and timeline expectations.
• Exceptional problem-solving skills and the ability to make critical decisions in a fast-paced environment.
• Deep technical expertise in AI/ML research, applied machine learning, or advanced computational modeling.
• Strong knowledge of emerging AI technologies, generative AI models, LLMs, agentic systems, and modern ML frameworks.
• Proven experience designing and prototyping AI/ML solutions at an enterprise scale.

WE VALUE

• Master’s degree in Computer Science, Information Technology, or a related field.
• 8 plus years of relevant experience in IT project management.
• Demonstrated success in driving digital transformation and strategic IT initiatives.
• Strong analytical and data-driven decision-making abilities.
• A passion for staying current with emerging industry trends and best practices.
• Understanding of UX principles to ensure AI solutions are intuitive, usable, and human‑centered.
• Excellent communication and collaboration skills; able to influence without
• Experience in high‑tech, aerospace, industrial, or safety‑critical environments is a plus.

US PERSON REQUIREMENTS

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.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

THE BUSINESS UNIT

Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here.

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AI Research & Strategy

• Lead AI research strategy and innovation initiatives, identifying long‑term opportunities and breakthrough technologies for enterprise adoption.
• Evaluate emerging AI/ML technologies, frameworks, and industry trends to determine feasibility, readiness, and enterprise value.
• Conduct applied research in areas such as generative AI, agentic AI, predictive modeling, enterprise automation, and intelligent systems.

AI Solution Design & Prototyping

• Design and prototype advanced AI/ML solutions, models, and architectures that address complex business challenges.
• Develop proof‑of‑concept (PoC) and experimental models that validate technical direction and inform future productization.
• Translate research outcomes into scalable, secure, and enterprise‑ready technical solutions.

Technical Leadership (Without Direct Reports)

• Guide technical direction across teams without direct people leadership, influencing engineering, digital product teams, and IT stakeholders
• Act as a senior technical advisor for AI adoption, model lifecycle design, experimentation standards, and responsible AI implementation.
• Partner with domain experts, data scientists, and architects to ensure alignment with enterprise architecture and strategic priorities.

Enterprise Collaboration & Innovation Enablement

• Collaborate with senior executives and cross‑functional partners to ensure AI research initiatives align with Honeywell’s business goals and technology strategy.
• Work with innovation hubs, the AI University, and functional teams to accelerate prototyping, experimentation, and responsible scaling.
• Advocate for enterprise governance, security, and compliance in all AI-related research.