Director, Test Automation and Data Analytics

Job Title

Director, Test Automation and Data Analytics

Role Summary

The Director will lead teams that design and deliver test automation platforms, test-program generation, tester-to-peripheral communications, test-data infrastructure, and ML-driven analytics for new-product development and production sustainment. This role sets the technical strategy, architecture, and multiyear roadmap to meet product, manufacturing scale, quality, and cost-of-test objectives.

Experience Level

Senior. The posting requests multiple years of experience in semiconductor test, automation, and AI/ML; exact years are not specified.

Responsibilities

Lead technical execution, architecture, and delivery of test automation and data analytics solutions that operate at production scale.

• Define and deliver a scalable test automation system supporting multiple ATE platforms and production lines (Digital, Mixed-Signal/Analog, RF).
• Develop Test Method Libraries for reuse and standardization across products and ATE platforms.
• Design and implement test program automation for varied market segments (automotive, commercial, industrial) to optimize coverage and cost-of-test.
• Architect the layers between testers and peripherals (communications, data transfers, integration).
• Build automation tools for audits, test-time profiling, GRR, drift analysis, Cpk/CZ reports, and other NPDE/Cost Entitlement workflows.
• Create application tools and dashboards for yield, quality monitoring, outlier screening, lot disposition, and real-time decisioning.
• Apply data analytics and ML to manufacturing data to identify opportunities for quality and cost improvements.
• Document gaps and best practices and provide feedback to Design, DfT, and PE teams to improve future test methods and processes.
• Ensure all work complies with Environmental, Health, Safety & Security requirements.

Requirements

Key technical and leadership qualifications required for the role.

• Must-have: Multiple years of combined experience in semiconductor test, automation, and AI/ML with hands-on production exposure to test-program development, ATE platforms, and production data flows.
• Must-have: Proven track record building and shipping automation platforms and data systems at production scale (architecture to multi-site deployment).
• Must-have: Practical experience applying ML to test/manufacturing data (outlier detection, yield analytics, adaptive test, automated decisioning).
• Must-have: Strong software and tooling skills: Python and ML frameworks such as PyTorch or TensorFlow; experience with cloud-scale data platforms.
• Nice-to-have: Experience across Digital, Mixed-Signal/Analog, and RF test flows; familiarity with diverse market segments (automotive, commercial, industrial).
• Nice-to-have: Experience developing test method libraries, real-time analytics, and automation for program audits, profiling, and statistical process reports.
• Leadership: Ability to define technical strategy, prioritize a multiyear roadmap, and lead cross-functional teams toward scalable production deployments.

Education Requirements

Not specified.

About the Company

Company: GlobalFoundries

Headquarters: Saratoga Springs, New York, USA

GlobalFoundries is a leading contract manufacturer for the global semiconductor industry, with facilities in multiple countries, including the USA. The company develops a broad portfolio of semiconductor technologies and employs around 13,000 people worldwide. GlobalFoundries focuses on enhancing competitiveness in specialized application solutions and fostering innovation in mobile communications, consumer electronics, and automotive applications.