Lead Data Product Owner 80-100% — Siemens
CHF 96'000 - 146'000
Siemens · Zug (ZG)
- Ort
- Zug
- Vertrag
- full-time
- Veröffentlicht
- vor 9 Tagen
LohnCHF 96'000 - 146'000
Rollenüberblick
We transform buildings With technology for smart and sustainable buildings and infrastructure, we transform the everyday for everyone.
- We transform buildings With technology for smart and sustainable buildings and infrastructure, we transform the everyday for everyone.
- You’ll coordinate with key stakeholders, both business and technical, to deliver high-quality data products that power innovative services and unlock new business opportunities Your new responsibilities -Vision and Strategy: Define the vision and roadmap for data products, aligned with business strategy end-to-end and across different parts of the organization -Product Backlog Management: Own and prioritize the data product backlog to maximize business value by monitoring performance, gathering feedback, and iterating on product features -Stakeholder Management : Engage stakeholders across business units, data science and engineering to gather requirements and communicate progress -Team Leadership: Guide and mentor a virtual team of Data Product Owners to ensure effective product development -Data Governance and Quality: ensure that data products adhere to quality standards and meet legal requirements -Innovation: Identify and drive opportunities for data innovation and AI Your Profile
- Master’s degree in Computer Science, Mathematics, or similar
Hauptaufgaben
- You’ll coordinate with key stakeholders, both business and technical, to deliver high-quality data products that power innovative services and unlock new business opportunities Your new responsibilities -Vision and Strategy: Define the vision and roadmap for data products, aligned with business strategy end-to-end and across different parts of the organization -Product Backlog Management: Own and prioritize the data product backlog to maximize business value by monitoring performance, gathering feedback, and iterating on product features -Stakeholder Management : Engage stakeholders across business units, data science and engineering to gather requirements and communicate progress -Team Leadership: Guide and mentor a virtual team of Data Product Owners to ensure effective product development -Data Governance and Quality: ensure that data products adhere to quality standards and meet legal requirements -Innovation: Identify and drive opportunities for data innovation and AI Your Profile
- Master’s degree in Computer Science, Mathematics, or similar
Bewerbungsprozess
- I look forward to receiving your application.
- Olger Talent Acquisition Partner Your way to Siemens
- How we hire Information for recruitment agencies: Siemens is not accepting applications from recruitment agencies for this position.
- Thank you for your understanding.
Unternehmen und Kontext
- By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and achieve world-class experiences for people Within Siemens Smart Infrastructure, you will be part of our Buildings Business Unit, which brings together the full portfolio of products, software and services for buildings and adjacent infrastructure In our quest to revolutionize the world’s infrastructure, we are seeking an experienced Lead Data Product Owner, for our SI SW Organization, within our SI Buildings business unit Our shared journey could take you anywhere…where would you like to go?
- Location: This position will be in Zug, Switzerland.
- Please note that qualified candidates need to be legally eligible for work authorization in Switzerland The Role As our new Lead Data Product Owner (LDPO), you’ll work across data domains, technical units, and diverse data sources, from IoT devices, cloud platforms and IT systems to core business processes.
- Given the breadth of the product's scope, 5 years plus of experience in data or product management with strong organizational skills
- Previous experience in the technical building domain (automation, energy, security) is a strong plus
- Good understanding of data governance principles, data quality management, metadata practices, and regulatory requirements
- Proven experience defining, delivering, and evolving data products, with a strong focus on business value, adoption, and measurable outcomes
- Experience identifying and driving AI, machine learning, or advanced analytics in products
- Solid understanding of data technologies (databases, catalogues, data lakes) to steer product decisions and discussions
- Demonstrated ability to lead cross-functional teams and influence senior business and technical stakeholders
Weitere Details
- 2–3 days per week of mobile working is standard Mobility allowance Varied further training opportunities Access to employee share programs
Notizen und Originalinhalt
- 2–3 days per week of mobile working is standard
- Mobility allowance
- Varied further training opportunities
- Access to employee share programs
