Product Owner (AI-enabled Medical Imaging Solutions )
Siemens
- Location
- Research & Development
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 6 approvals (FY2023)
Skills
About this role
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!