IT Product Owner (m/w/d), PDLC, Data

Who we are looking for:
• You have hands-on experience in Business Consulting and Data Analytics
• A background within product life cycle is a big plus (End-to-End)
• You have good communication skills and can adapt your language to the business context
• You can familiarize yourself with business processes and challenges
• Effective facilitation skills. Should be able to steer group discussions and lead meetings
• Be able to support the business around Data Engineering and Data Science
• Service Management competencies including expectation and risk management
• Knowledge of budgeting and financing of an IT Service
• Close collaboration with the Portfolio Owner to support the products portfolio
 
Your responsibilities
• Co-Creating the Product Vision and Strategy
• Developing and Communicating the Product Goal
• Shaping the backlog for a better Deliverable
• Accountable for representing the Stakeholders to an AGILE team, acting as the bridge between both
• Plays major role on sprint planning & refining. Engage in reviews, retrospectives as well as other ceremonies
• Performance Measurement
• Continuously improve the product based on feedback of the key stakeholders
• Ensure completeness and consistency of the product deliverable under the quality standards of Siemens
• Balancing Vision and Budget
• Identifying Opportunities and Creating Value
 
Personal skills
• Action orientated. Should be able to follow up persistently on feedback to ensure positive outcomes
• Experience with Agile methodologies (e.g., SAFe, Scrum)
• Being data literate
• Proven experience in leading technical teams, and mentoring and overseeing offshore developers
• Motivated to work in an international working culture (Europe, India, US)
• Coach and help to develop the team
• Translate business requirements into technical tasks
• Fluent in English required, German a plus
 
Technical skills
• Experience in data engineering, data modelling and data mining
• Knowledge in data architecture and platform setups
• Knowledge of visualizing and presenting insights from data with analytics and reporting tools such as Power BI or Qlik