Senior Data Science Supervisor/AI Architect

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Senior Data Science Supervisor/AI Architect Phoenix, AZ, United States Senior Data Science Supervisor/AI Architect Phoenix, AZ, United States Job Description As a Senior Data Science Supervisor/AI Architect here 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 be responsible for designing, building, and evolving intelligent automation and AI capabilities required 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. In addition, 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 our Senior Director of AI, and you'll work out of our Phoenix, Arizona location on a hybrid work schedule. Responsibilities KEY 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

Read the full description at icfcjb.fa.ocs.oraclecloud.com. FewerJobs shows a source-linked preview and links to the original posting.