Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Honeywell Aerospace US LLC
Overview
As a Senior Data Science Supervisor/AI Architect at Honeywell, you will own the end-to-end integrity, scalability, and reliability of the AI ecosystem, including platform architecture, deployment infrastructure, model monitoring, and retraining capabilities. You will design, build, and evolve intelligent automation and AI capabilities to deliver the delivery pod’s committed outcomes. This role encompasses both process automation engineering and advanced AI development, enabling value delivery across the full automation‑to‑AI maturity spectrum. You will oversee AI model and agent development, prompt and logic design, data integration, solution testing and validation, AI‑enabled application and workflow integration, and technical documentation. You will report directly to the Senior Director of AI and work from the Phoenix, Arizona location on a hybrid schedule.
Responsibilities
- Lead and mentor a team of AI developers in designing and deploying machine learning models and advanced analytics solutions
- Collaborate with cross-functional aerospace teams to identify data-driven opportunities and translate business needs into technical requirements
- Oversee the development, validation, and deployment of predictive models to improve aerospace system performance and reliability
- Ensure data quality, integrity, and governance across projects and datasets
- Drive innovation by staying current with emerging AI technologies and methodologies applicable to aerospace
- Manage project timelines, resources, and stakeholder communications to ensure successful delivery of AI initiatives
Qualifications
YOU MUST HAVE
- Proven experience leading AI teams and managing complex analytics projects
- Strong expertise in agentic workflow including scalability, and reliability of the AI ecosystem, including platform architecture, deployment infrastructure, model monitoring, and retraining capabilities
- Proficiency with AI tools including langraph, databricks or snowflake, and pydantic
- Experience in applying AI and predictive analytics to solve operational challenges
WE VALUE
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related fields
- Experience in data science roles with at least 3 years in a supervisory or leadership capacity
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud for data science applications
- Strong problem-solving skills and ability to work collaboratively in multidisciplinary teams
- Experience with aerospace domain knowledge and understanding of aerospace data systems
Export/Compliance
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.