Director of Digital Solutions & Technology

Taastrup, Capital Region
Posted 1 month ago
Engineering

About the role

Job summary

The Director of Digital Solutions & Technology is responsible for leading multidisciplinary engineering teams focused on software, firmware, and electrical hardware within the hearing and balance product portfolio. This role combines strategic oversight with hands-on leadership, defining platform architecture and technology direction while ensuring compliance with performance and regulatory standards.

Qualifications

  • Over 10 years of progressive engineering experience, including 5+ years in a digital engineering leadership role.
  • Extensive knowledge in embedded systems, firmware, software architecture, and digital electronics.
  • Proven track record of integrating AI/ML into product development, particularly in regulated environments.
  • Strong understanding of software and hardware development lifecycle management in compliance with regulations (IEC 62304, cybersecurity).
  • Experience in building and scaling high-performing, cross-disciplinary engineering teams.
  • Ability to operate at both strategic and architectural levels.

Responsibilities

  • Lead, coach, and develop engineering teams across software, firmware, hardware, product security, and DevOps.
  • Drive the integration of AI and machine learning into product features and champion AI-assisted development practices.
  • Define and manage digital platform architecture and long-range technology roadmaps.
  • Ensure high-quality design and implementation of embedded systems and software platforms.
  • Oversee software and firmware development lifecycles in alignment with regulatory requirements.
  • Collaborate with Systems Engineering to translate clinical and product requirements into technical solutions.

Skills

  • Leadership and team development.
  • AI/ML integration and technology strategy.
  • Platform architecture and digital engineering best practices.
  • Cross-functional collaboration and product delivery.

Education

  • Not specified.

Tools

  • Familiarity with AI/ML toolchains (e.g., TensorFlow Lite, ONNX).
  • Experience with DevOps/DevSecOps practices and CI/CD pipelines.
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