Director, Data and AI Engineering

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🚀 Aerospace

Aerospace • Defense • Sustainability

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• Define and lead the data engineering, AI engineering, and core data services strategy to ensure scalability, efficiency, and alignment with business objectives. • Manage end-to-end data lifecycle from multiple sources (IoT, field data, manufacturing and production systems), including engineering, modeling, deployment, monitoring, and data operations. • Lead global teams responsible for data architecture, data engineering, integration, and data operations. • Ensure AI environments meet security, performance, availability, compliance, and cost-optimization requirements. • Promote global convergence of data and AI capabilities, tools, engineering best practices, and operational processes. • Oversee global monitoring, incident and problem management, capacity planning, disaster recovery, and lifecycle management.

🎯 Requirements

• Bachelor's degree in Computer Science, Management Information Systems, Information Technology, or a related technical field, combined with a minimum of 14 years' experience in data engineering, platform engineering, and platform operations; OR a graduate degree in a relevant field combined with a minimum of 12 years' experience in these areas. • Experience leading large global engineering and operations teams. • Deep expertise with cloud data ecosystems such as Databricks and Snowflake, and their integration capabilities. • Experience with AI platforms, MLOps pipelines, model operations, and high-performance compute environments. • Excellent understanding of data architecture, engineering patterns, observability, operational frameworks, and platform security. • Proven ability to translate business strategy into a technical roadmap and to deliver scalable, enterprise-wide capabilities. • Strong influencing, communication, and collaboration skills with technical and business leaders. • Recognized experience in modernization, standardization, reliability engineering, and operational excellence. • Demonstrated success in building and developing high-performing engineering and operations teams.

🏖️ Benefits

• Employer-contributed pension and savings plan • Group insurance program • Career advancement opportunities • Merit or recognition program • Health and wellness program, including telemedicine • Recreational and sports club • Nearby daycare facilities • Transit accessibility or public transit program and free parking