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Job Description:
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When you join this global team, you're part of a community that cares about the work and each other.
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About Us
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We are the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives.
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We operate on every continent through three primary segments – Construction Industries, Resource Industries and Energy & Transportation – and provide financing and related services.
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Job Responsibilities
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The Data Science Architect will:
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 * Serve as the technical lead for data science architecture across Autonomy & Automation (A&A) programs.
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 * Work closely with A&A Cloud, OnPrem and Onboard Application Architects, IT & Cat Digital Architects, Global Data Science Tech BAs.
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Key Responsibilities
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 * Architect and oversee Traditional AI and Governed AI solutions across A&A domains.
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 * Collaborate with Tech BAs to translate business requirements into scalable, production-ready architectures.
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 * Define and maintain architectural standards for model delivery, documentation, and deployment.
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 * Ensure ISO 9001 compliance and alignment with Caterpillar's AI governance and IT infrastructure.
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 * Support Epic Grooming and Front Door processes working with Tech BAs.
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Required Skills & Experience
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 * 10+ years in data science, data engineering, or architecture roles, with at least 3 years in a global or enterprise architect capacity.
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 * Proven experience designing and deploying Traditional AI and Generative AI solutions at scale in production environments.
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 * Strong understanding of data governance, model lifecycle management, and enterprise integration.
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 * Proficiency in Python, SQL, and ML frameworks.
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 * Familiarity with cloud platforms and containerisation.
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 * Experience working with cross-functional teams.
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 * Excellent communication and stakeholder engagement skills.
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Key Skill
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Influencing Through Expertise:
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 * Knowledge of effective influencing tactics and strategies.
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 * Ability to use these to deepen own expertise and impact or challenge decisions within and outside own organization.
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