Product Owner (AI-enabled Medical Imaging Solutions)

Job Requirements

Product Owner for AI-enabled medical imaging solutions

Key Responsibilities

• Own, manage and prioritize requirements in the product life cycle from definition to phase-out.
• Define platform requirements for native, on-premise, and cloud deployments.
• Provide clear direction, context, and priorities to development teams.
• Collaborate closely with key internal stakeholders and engage with external stakeholders.
  
  

Focus Areas

• Must - Basic understanding of DICOM, IHE, Legal regulations and standards applicable for medical devices, affecting safety aspects(i.e. FDA 21CFR820QSR, ISO 13485, EU MDR )
• Must - Strong software engineering foundation with prior hands-on development experience, enabling effective collaboration with development and architecture teams
• Must - Agile Methodologies, Product Lifecycle Management & Software development cycle experience for Medical Devices
• Must- Experience in Requirements Engineering, Usability Engineering and feature definition activities.
• Good to have - Understanding of radiology and oncology clinical workflows.
• Good to have - Experience working with cloud-native healthcare software platforms and enterprise deployment architectures.
• Good to have - Basic understanding of AI/ML systems, including model training, inference workflows, performance metrics, model limitations, bias, and clinical validation concepts.
  
  

What are my tasks

• Gather, prioritize, create & communicate stakeholder and market requirements & S/W specifications
• Guide and support development teams, resolving conflicts and answering questions
• Manage all the Agile methodology practices related to requirements engineering and product definition
• Provide input to project management and support rollout activities such as training, presentations, and workshops
• Review and decide on complaints, bugs, and change requests, ensuring proper prioritization within the product backlog.
• Define and manage requirements for AI-enabled features including performance, usability, explainability, and workflow integration.
  
  

What do I need to know to qualify for this job

Qualification: A Bachelors / masters degree in engineering and / or MCA or equivalent.

Work Experience: 12 to 15 years

Desired Knowledge & Experience

Self driven & problem solving behaviour, clear written and spoken communication skills. Willingness to constantly learn & un-learn to improve self.

The role demands experience in requirements engineering, product lifecycle management, and IT integration in regulated environments.

Customer-focused mindset with a passion for delivering impactful solutions.

If you're passionate about driving innovation in healthcare IT and have the expertise to define, prioritize, and deliver world-class solutions, we'd love to hear from you!

Work Experience

Must - Basic understanding of DICOM, IHE, Legal regulations and standards applicable for medical devices, affecting safety aspects(i.e. FDA 21CFR820QSR, ISO 13485, EU MDR )

• Must - Strong software engineering foundation with prior hands-on development experience, enabling effective collaboration with development and architecture teams
• Must - Agile Methodologies, Product Lifecycle Management & Software development cycle experience for Medical Devices
• Must- Experience in Requirements Engineering, Usability Engineering and feature definition activities.
• Good to have - Understanding of radiology and oncology clinical workflows.
• Good to have - Experience working with cloud-native healthcare software platforms and enterprise deployment architectures.
• Good to have - Basic understanding of AI/ML systems, including model training, inference workflows, performance metrics, model limitations, bias, and clinical validation concepts.