Global Data Science Architect

• Serve as the technical lead for data science architecture across Caterpillar’s Autonomy & Automation (A&A) programs, and this role is embedded within the Global Data Science team which acts as a supplier to multiple solution trains and cross-functional A&A initiatives.

• Work closely with A&A 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 A&A 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 A&A ecosystem and Solution Train delivery models

• Familiarity with Caterpillar’s IT ecosystem, security and organisation