Quality & Regulatory Affairs Lead

The Role

We're hiring a Quality & Regulatory Affairs Lead to build, implement, scale, and lead Cadence's Quality Management System and regulatory strategy for AI-enabled, software-driven healthcare products. This leader will own the quality and regulatory framework for Cadence's technology-enabled care model, including Software as a Medical Device (SaMD), AI-enabled device software functions, clinical decision support, cloud-based systems, and product workflows that may impact patient care, clinician decision-making, and regulated medical device obligations.

This is a high-impact role hands-on-leadership role for a quality and regulatory leader who can operate at the intersection of AI, software, clinical operations, product development, and medical device compliance. You'll partner across Product, Engineering, Data Science, Clinical, Operations, Security, Legal, Compliance, and external regulatory advisors to ensure Cadence builds responsibly, scales compliantly, and maintains strong inspection readiness as AI-enabled capabilities evolve.

What You'll Do

• Own Cadence's QMS strategy and regulatory operating model for AI-enabled healthcare software, SaMD, clinical decision support, and technology-enabled care workflows.
• Lead quality system governance across design controls, risk management, CAPA, change control, document control, training, supplier quality, validation / computer software assurance, audit readiness, complaint handling, and post-market quality monitoring.
• Serve as process owner for policy governance and patient incident / incident / feedback intake, triage, escalation, documentation, and closure, in close alignment with Compliance leadership.
• Partner with Product, Engineering, Data Science, Clinical, Security, Legal, Compliance, and Regulatory stakeholders to assess intended use, device classification, regulatory pathway, clinical risk, cybersecurity impact, and QMS requirements for new and evolving software capabilities.
• Establish practical, risk-based processes for software design controls, requirement traceability, verification and validation, usability / human factors, release readiness, anomaly management, AI/ML lifecycle governance, production monitoring, and post-deployment surveillance.
• Support regulatory strategy and submissions for AI-enabled device software functions, including 510(k), De Novo, pre-submission interactions, technical documentation, software documentation, cybersecurity documentation, and Predetermined Change Control Plans where applicable.
• Lead QMS effectiveness, management review, and continuous improvement across the quality system.