Director IT (AI Applications & Platforms Service Owner)

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:

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 Honeywells 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 Honeywells 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

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

Bachelors or Masters 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