Verification Lead
On-siteHino, Tokyo, Japan
Job Summary
Own verification planning activities, including scope definition, resource planning, schedule alignment, and verification strategy development for Diagnostic Ultrasound products. Lead feature, subsystem, and system-level verification activities throughout the product development lifecycle while ensuring plans address product requirements, risk controls, and quality objectives. Review requirements for completeness and maintain traceability between requirements, test cases, and defects. Serve as the primary verification focal point, collaborating with Systems, Software, and Quality teams to drive root cause investigations and resolution of complex issues. Mentor verification engineers on methodologies and systems thinking while fostering a culture of operational excellence. Drive improvements in verification effectiveness through automation, standardization, and data-driven metrics.
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or related technical discipline
- Significant experience in verification, validation, systems engineering, testing, or product development
- Experience developing verification plans, strategies, protocols, and reports
- Experience leading cross-functional technical activities in a product development environment
- Strong understanding of requirements management, traceability, defect management, and root cause analysis
- Demonstrated leadership, communication, and stakeholder management skills
- Ability to drive execution and influence outcomes across globally distributed teams
Desired Qualifications
- Experience in medical device or regulated product development
- Experience supporting design controls, risk management, and product verification processes
- Experience with test automation, scripting, and verification productivity tools
- Experience with Agile and/or SAFe development methodologies
- Experience with systems integration and multi-disciplinary product development
- Knowledge of data analytics and AI-enabled engineering tools
- Experience leading continuous improvement initiatives focused on quality, productivity, or speed-to-market
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