About this role

Salary: CHF 90’000 - 120’000 per year

Requirements:

Validated experience as a Product Owner or similar role within AI, data-driven, or technology-focused environments
Solid understanding of (gen)AI/ML technologies, process automation, and productivity-driven solutions
Familiarity with DevSecOps principles and secure AI/ML deployment practices
Excellent participant management and interpersonal skills, with the ability to explain sophisticated AI concepts to non-technical audiences
Experience working in international, multi-functional teams
Strong organizational and analytical skills; ability to lead multiple priorities
Experience with AI governance, model lifecycle management, and compliance considerations (desired)
Knowledge of cloud-native AI platforms (Azure AI, AWS AI/ML, Snowflake AI, etc.) (desired)
Background in consulting or business analysis for AI-driven initiatives (desired)
Certification in SAFe PO/PM (desired)

Responsibilities:

Define, own, and prioritize the AI product backlog in alignment with business goals and technical feasibility
Translate business requirements into actionable AI use cases for DevSecOps and beyond
Drive the lifecycle of AI solutions—from ideation and prototyping to deployment and continuous improvement
Act as the main contact between business collaborators and the AI DevSecOps team
Consult and advise business units on AI opportunities, feasibility, and implementation approaches
Support stakeholders in identifying AI-driven process automation and productivity enhancement opportunities
Ensure high-quality delivery of AI products in collaboration with cross-functional and international teams
Work closely with engineers, data scientists, security experts, and operations teams to ensure secure, scalable, and compliant AI solutions
Establish measurable success criteria (KPIs, ROI, adoption rates) for implemented AI solution
Lead DevSecOps team and ensure a complete scalable setup and cultivate an environment that enables innovation
Collaborate with global teams to ensure consistency, scalability, and standard processes

Technologies:

AI
AWS
Azure
Cloud
DevSecOps
Support
Mobile
Product Owner
Security
Snowflake
DevOps

More:

At Siemens, we are shaping the cities of tomorrow and creating environments that care through intelligent connection of energy systems, buildings, and industries. Our Data Intelligence & Automation team provides data services and solutions to enable the business to utilize the power of their data. We emphasize an inclusive and flexible working culture that encourages authenticity and promotes a good work-life balance. Our benefits include 2–3 days per week of mobile working, a mobility allowance, varied training opportunities, and access to employee share programs. We believe that our corporate culture thrives on equal opportunities and diversity, enriching our workplace for everyone.

last updated 4 week of 2026