Product Owner (AI-enabled Medical Imaging Solutions)

Siemens Healthineers

Location: Bengaluru, KA , IN
Employment Type: FULL_TIME
Industry: Advertising and Public Relations
Occupational Category: 13-0000.00 – Business and Financial Operations
Posted: Tuesday, 06 October 2026
Valid Through: Thursday, 05 November 2026

Job Description

Siemens Healthineers is hiring a Product Owner (AI-enabled Medical Imaging Solutions) in Bengaluru, KA. This is a full-time position.

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.

• Goodto 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.

Education Requirements

high school

Skills

Please see the job description for required or recommended skills.

Benefits

Please see the job description for benefits.

Apply Now

Index requested: 10/06/2026 18:32:42 • Indexed: 10/06/2026 18:32:42