Role Summary
The Director – IT (AI Applications & Platforms Service Owner) is responsible for end‑to‑end service ownership of Honeywell Aerospace AI applications and AI platforms , spanning strategy, planning, build, deployment, operations, and continuous improvement .
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.
Key Responsibilities
1. AI Platform & Application Service Ownership
- Own end‑to‑end service accountability for AI applications and platforms, including:
- AI application lifecycle management
- Platform availability, reliability, and performance
- 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:
- Model deployment and versioning
- Monitoring, drift detection, and retraining workflows
- 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
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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
- Databricks – Enterprise AI/ML and analytics platform
- Snowflake – Enterprise Data Warehouse supporting AI consumption
- Cloud Platforms
- Google Cloud Platform (GCP) – Engineering and AI data platforms
- Microsoft Azure – AI integration, Azure OpenAI, orchestration
- AWS – Select enterprise AI and analytics services
- AI & MLOps
- Model serving, monitoring, CI/CD for ML
- Vector databases and RAG architectures supporting AI applications
- Security & Identity
- Enterprise IAM, RBAC, SSO, and secure access patterns
- Enterprise Integration
- APIs, event‑driven architectures, and integration with core enterprise systems
