Career Area:

Technology, Digital and Data

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 don't 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.

Senior Engineering Manager – Data & ML Ops

About the Role

We are seeking a Senior Engineering Manager to lead our Data & ML Ops team, driving the design, development, and operationalization of enterprise-scale data pipelines and machine learning platforms. This role will ensure robust, scalable, and secure data and ML infrastructure that powers advanced analytics, AI-driven applications, and digital transformation initiatives across the organization.

You will lead a multidisciplinary team of data engineers, ML engineers, and platform specialists to deliver high-performance solutions for data ingestion, processing, model deployment, and monitoring. This position is critical to enabling real-time insights, predictive analytics, and intelligent automation for our business.

Key Responsibilities

• Provide strategic direction and leadership for Data & ML Ops teams, fostering innovation and delivery excellence.
• Architect and implement cloud-native data platforms for real-time ingestion, transformation, and analytics.
• Drive ML Ops best practices for model lifecycle management, including training, deployment, monitoring, and retraining.
• Establish data governance and quality standards across pipelines and ML workflows.
• Ensure platform scalability, security, and compliance with enterprise and regulatory requirements.
• Collaborate with data scientists, product teams, and business stakeholders to translate AI/ML strategies into operational solutions.
• Champion automation through CI/CD pipelines for data and ML workflows.
• Partner with leadership on technical roadmaps, vendor ecosystems, and emerging technologies in data engineering and ML Ops.
• Lead talent development, hiring, and organizational design for a high-performing engineering culture.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 15+ years of experience in software/data engineering, with at least 5 years in engineering leadership roles.
• Proven expertise in data engineering (ETL, streaming, batch processing) and ML Ops frameworks.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong knowledge of data pipelines (Kafka, Spark, Flink) and ML Ops tools (MLflow, Kubeflow, SageMaker).
• Experience with CI/CD, infrastructure-as-code, and automation for data and ML workflows.
• Deep understanding of data governance, security, and compliance in enterprise environments.
• Excellent leadership, communication, and stakeholder management skills.

Preferred Qualifications

• Experience with feature stores, model registries, and real-time inference systems.
• Knowledge of GPU acceleration, distributed training, and high-performance computing.
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and advanced analytics platforms.
• Exposure to observability tools for ML pipelines (Prometheus, Grafana).
• Contributions to open-source projects or published work in data engineering or ML Ops.

Why Join Us?

• Lead a team at the forefront of AI-driven digital transformation.
• Work with cutting-edge technologies in data engineering and ML Ops.
• Collaborate with industry experts and shape enterprise AI strategy.
• Competitive compensation, flexible work options, and opportunities for growth.

Posting Dates:

December 3, 2025 - December 9, 2025

Caterpillar is an Equal Opportunity Employer.  Qualified applicants of any age are encouraged to apply

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