Global Data Science Architect

Career Area: Engineering

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

The Global Data Science Architect will:

• Serve as the technical lead for data science architecture across Caterpillar s Autonomy Automation (AA) programs, and this role is embedded within the Global Data Science team which acts as a supplier to multiple solution trains and cross-functional AA initiatives.
• Work closely with AA Cloud, OnPrem and Onboard Application Architects, Caterpillar IT Cat Digital Architects, Global Data Science Product Owner, ensuring that traditional AI and GenAI capabilities are designed to accelerate product innovation and internal tooling velocity.

Key Responsibilities:

• Architect and oversee Traditional AI and Governed AI solutions across AA domains.
• Collaborate with AI Product Owner to translate business requirements into scalable, production-ready architectures.
• Define and maintain architectural standards for model delivery, documentation, and deployment (e.g., .WHL packaging, MLOps GenAI integration).
• Ensure ISO 9001 compliance and alignment with Caterpillar s AI governance and IT infrastructure.
• Support Epic Grooming and Front Door processes working with AI Product Owner and ensuring architectural consistency across pods.

Required Skills Experience:

• 10+ years in data science, data engineering, or architecture roles, with at least 3 years in a global or enterprise architect capacity.
• Proven experience designing and deploying Traditional AI and Generative AI solutions at scale in production environments.
• Strong understanding of data governance, model lifecycle management, and enterprise integration.
• Proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes).
• Experience working with cross-functional teams including Tech BAs, product managers, and solution architects.
• Excellent communication and stakeholder engagement skills.

Key Skill: Influencing Through Expertise: Knowledge of effective influencing tactics and strategies; ability to use these to deepen own expertise and impact or challenge decisions within and outside own organization. Level Working Knowledge:

• Acquires expertise through training and practical experience in the relevant field.
• Analyzes the needs, desires, and motivations of the other party to effectively understand a given scenario.
• Identifies who the decision makers are and how they receive information.
• Provides evidentiary support while giving opinions or recommendations to influence decision-making.
• Conducts tasks in such a way as to build a strong reputation and credibility as an expert in the field.

Preferred Qualifications:

• Master s or PhD in Data Science, Computer Science, or related field is highly desired but not essential
• Experience with GenAI tools and ISO-compliant development practices
• Familiarity with Caterpillar s AA ecosystem and Solution Train delivery models
• Familiarity with Caterpillar s IT ecosystem, security and organisation

This position requires working onsite five days a week.

Relocation is available for this position.

Visa Sponsorship is not available for this position.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.