Honeywell—Director AI

Job description

Description: The Director, AI Transformation is an AI-first technical leader responsible for defining and driving the HTCS AI strategy and converting it into deployed, scalable solutions and measurable business outcomes. The role will establish, operationalize, and scale enterprise AI initiatives, working closely with SBG leaders, Engineering, Digital/AI teams, IT, Cybersecurity, Legal, Data Privacy, HR, and other cross-functional stakeholders. This is an Individual Contributor role that leads through technical credibility, influence, and end-to-end ownership rather than direct people management. Requirements: 1. Education Required • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, Data Science, Information Systems, or a related technical discipline. • A master's degree in a relevant technical discipline or business administration is preferred. • AI/ML, data, cloud, architecture, or engineering certifications are advantageous. Program management certification is desirable but not a primary requirement. 2. Work Experience Required Typically 10+ years of experience in technology, software engineering, data, digital transformation, or related fields, with substantial experience leading enterprise AI initiatives. Candidates with a strong software development background and proven AI delivery experience will be considered. Must-have experience • Strong AI knowledge and technical depth, with the ability to evaluate technologies, challenge solution designs, and guide technical delivery teams. • Demonstrated experience defining and driving AI strategy, roadmaps, operating models, and investment priorities. • Proven experience establishing, scaling, and operationalizing AI initiatives across an enterprise or large, complex organization. • Hands-on experience deploying AI solutions into organizational environments, moving beyond proof of concept to production adoption and sustained operations. • End-to-end delivery of AI programs, including use-case discovery, data readiness, architecture, build or configuration, testing, governance, rollout, monitoring, and value realization. • Experience with generative AI, machine learning, intelligent automation, copilots or assistants, data and analytics platforms, and enterprise integration patterns. • Experience applying responsible AI, data privacy, cybersecurity, legal, compliance, and model-risk controls in solution delivery. • Ability to communicate complex technical concepts to senior leaders and translate business priorities into executable technical plans. • Strong stakeholder management and experience leading cross-functional teams in a matrixed, global environment. 3. Preferred Profile • Technical Manager, Technical Director, AI Engineering Leader, AI Transformation Leader, or equivalent profile with strong technical capability and demonstrated AI implementation experience. • Software development or engineering background, including experience with software architecture, cloud platforms, APIs, data pipelines, DevOps/MLOps, or enterprise application integration. • Experience building AI governance, reusable delivery frameworks, centers of excellence, communities of practice, or enterprise AI capability-building programs. • Ability to balance strategic thinking with hands-on execution and to operate effectively as a senior Individual Contributor. 4. Behavioral Competencies Required • Enterprise mindset with strong ownership, sound judgment, and a focus on measurable outcomes. • Excellent communication, influencing, facilitation, and executive storytelling skills across functions, countries, and cultural boundaries. • Ability to navigate ambiguity, act with urgency, make informed trade-offs, and remove barriers to execution. • Demonstrates Honeywell behaviors, including Act with Urgency, Think Big and Make It Happen, and Be Courageous and Inspire Greatness. 5. Language Requirements - Must be able to communicate effectively in English, including with senior technical and business stakeholders. Responsibilities: 1. Principal Responsibilities The role will provide technical and strategic leadership across the AI lifecycle, including the following priorities: 1. Define and drive the HTCS AI strategy, technology roadmap, operating model, and prioritized portfolio of AI opportunities aligned to business and engineering needs. 2. Lead AI programs from opportunity identification and solution design through build, validation, deployment, adoption, scaling, and sustainment. 3. Provide strong technical direction across generative AI, machine learning, intelligent automation, data and analytics, copilots, knowledge assistants, and related enterprise AI capabilities. 4. Partner with business and technical stakeholders to translate complex problems into clear AI use cases, solution architectures, delivery plans, and measurable success criteria. 5. Hands-on lead the deployment of AI solutions within the organization, including pilots, production rollouts, integration with enterprise platforms, monitoring, support, and continuous improvement. 6. Establish repeatable standards, governance, and processes for AI use-case intake, feasibility assessment, data readiness, model or tool selection, validation, responsible AI review, deployment, and value realization. 7. Build and scale an AI operating rhythm covering portfolio governance, architecture and design reviews, delivery checkpoints, risk management, executive reporting, and benefits tracking. 8. Ensure AI solutions meet enterprise expectations for cybersecurity, data privacy, legal compliance, responsible AI, reliability, quality, and operational support. 9. Drive adoption and capability building through technical playbooks, communities of practice, learning pathways, demonstrations, office hours, and knowledge transfer to business and function owners. 10. Mobilize cross-functional teams, resolve technical and organizational blockers, facilitate decisions, and maintain alignment across multiple stakeholders, sites, and time zones. 11. Track and communicate outcomes using relevant measures such as adoption, active usage, productivity, quality, cycle time, cost, solution performance, and user satisfaction. 2. Principal Networks & Contact Links • HTCS leadership and function leaders; SBG Engineering leaders; AI/Digital leaders; enterprise architects; data, platform, product, and engineering teams. • IT, Cybersecurity, Legal, Data Privacy, Procurement, Finance, HR/L&D, change management, and communications teams. • External technology partners and service providers, where required for AI solution delivery and scaling. 3. Supervisory Responsibilities • Individual Contributor role with no direct reports. • Leads through technical depth, influence, and matrixed collaboration; coordinates cross-functional teams and workstreams to deliver AI outcomes. 4. Geographic Scope & Travel Requirements - The position is based in Bangalore, India, and may require occasional travel to HTCS and SBG Engineering locations globally, as required.