This role operates as the enterprise service owner for AI and data-driven applications, ensuring platforms are secure, reliable, scalable, compliant, and production-ready. The Director partners closely with business leaders, data science teams, platform engineering, cybersecurity, and global IT stakeholders to ensure AI solutions are industrialized and adopted without business disruption, while enabling innovation and transformation across Aerospace.
Responsibilities
Key Responsibilities
1. AI Platform & Application Service Ownership
Own end-to-end service accountability for AI applications and platforms, including:
o AI application lifecycle management
o Platform availability, reliability, and performance
o MLOps, model lifecycle, and operational readiness
Ensure AI platforms support enterprise-scale development, deployment, monitoring, and retraining of models
Act as the single point of accountability for AI service health, uptime, and support across Aerospace
2. AI & MLOps Enablement
Own and govern MLOps capabilities across AI platforms, including:
o Model deployment and versioning
o Monitoring, drift detection, and retraining workflows
o Secure model serving and access controls
Partner with data science and AI engineering teams to industrialize AI solutions and move them from experimentation to production
3. Technology Leadership & Transformation
Serve as a technology transformation leader, driving adoption of AI platforms as strategic business enablers
Identify and sponsor innovation initiatives that accelerate productivity, speed, and business outcomes using AI
Ensure AI platforms align with Honeywell’s responsible AI, security, and governance standards
4. Strategy, Roadmap & AOP Ownership
Partner with business stakeholders to define AI platform and application strategy, multi-year roadmaps, and AOP plans
Translate business demand into prioritized, funded AI initiatives
Ensure traceability from strategy → roadmap → AOP → delivery → adoption
5. Cross-Functional Leadership & Enterprise Integration
Work with enterprise architecture, data, cloud, cybersecurity, and platform teams to deliver integrated AI solutions
Enable end-to-end solution support across data ingestion, model development, application layers, and enterprise systems
Drive alignment across global and regional teams to ensure consistency with Honeywell’s enterprise operating model
6. Delivery, Investment & Operational Excellence
Own delivery governance, investment prioritization, and execution oversight for AI platforms and applications
Ensure solutions are delivered and supported without business interruptions
Balance innovation speed with stability, compliance, and operational rigor
7. People, Team & Platform Leadership
Lead and develop managers, architects, AI engineers, and platform teams
Build high-performing teams responsible for planning, designing, building, and supporting AI platforms and applications
Foster a culture of ownership, accountability, and continuous improvement
Technology & Platform Landscape (Honeywell-Aligned)
AI & Data Platforms
o Databricks – Enterprise AI/ML and analytics platform
o Snowflake – Enterprise Data Warehouse supporting AI consumption
Cloud Platforms
o Google Cloud Platform (GCP) – Engineering and AI data platforms
o Microsoft Azure – AI integration, Azure OpenAI, orchestration
o AWS – Select enterprise AI and analytics services
AI & MLOps
o Model serving, monitoring, CI/CD for ML
o Vector databases and RAG architectures supporting AI applications
Security & Identity
o Enterprise IAM, RBAC, SSO, and secure access patterns
Enterprise Integration
o APIs, event-driven architectures, and integration with core enterprise systems
Qualifications
Experience & Capabilities
15+ years of experience in enterprise IT leadership, platform ownership, or large-scale technology delivery roles
Proven experience acting as service owner for complex, business-critical platforms
Strong background in AI platforms, data ecosystems, and cloud-based architectures
Demonstrated success leading enterprise transformations and technical implementations
Experience operating in global, regulated, mission-critical environments
Education
Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or a related field
Who Will Succeed in This Role
Seasoned technology transformation leaders with strong service-ownership mindset
Leaders who can plan, design, build, and support large-scale enterprise platforms
Professionals who balance innovation with operational excellence
Executives capable of driving AI adoption and business transformation without disrupting operations
About Us
Honeywell helps organizations solve the worlds 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.
