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Head of Technology (Industrial IoT & AI) (m/w/x)
Shaping technology direction for connected products, digital services, and AI across cloud, edge, and devices. Substantial technology leadership and distributed systems experience required. Flexible work culture, lifelong learning promotion.
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Anforderungen
- Substantial experience in technology leadership, software architecture, platform development, engineering enablement, or comparable role
- Demonstrated experience providing technology direction across multiple teams, products, or organizational units
- Influencing stakeholders across organizational boundaries
- Strong understanding of distributed systems
- Strong understanding of cloud-native architecture
- Strong understanding of edge and hybrid deployment
- Strong understanding of industrial connectivity
- Strong understanding of data architectures
- Strong understanding of identity management
- Strong understanding of observability
- Strong understanding of resilience
- Strong understanding of security-by-design
- Experience translating technology strategy into executable roadmaps
- Aligning stakeholders around shared priorities, dependencies, and investment decisions
- Practical understanding of AI-assisted software development
- Understanding of human oversight in AI
- Understanding of traceability in AI
- Understanding of quality assurance in AI
- Understanding of security in AI
- Understanding of responsible governance of AI tools
- Ability to balance technical judgment with customer orientation
- Ability to balance technical judgment with commercial awareness
- Ability to balance technical judgment with long-term lifecycle thinking
- Managing portfolio-level dependencies
- Managing capacity constraints
- Managing strategic trade-offs
- Confident communication in international environment
- Effective facilitation in international environment
- Professional English
- Additional languages are an advantage
Aufgaben
- Shape technology direction for connected products, digital services, and AI.
- Provide technology direction to connect cloud services, local software, devices, communication, data, and AI.
- Define and maintain a multi-year technology strategy for Industrial IoT and AI.
- Translate strategy into clear roadmaps covering cloud, edge, devices, communication, data, and AI.
- Establish target architectures, technology principles, and decision guidance.
- Align technology roadmaps, dependencies, investment priorities, and lifecycle decisions.
- Make key trade-offs and capacity constraints transparent to decision-makers.
- Lead responsible adoption of AI and automation in software development and product improvement.
- Establish governance, oversight, quality controls, and IP protection for AI adoption.
- Provide direction to technical leaders, architects, and engineering teams.
- Develop technical capabilities through coaching, communities of practice, and governance.
- Promote reuse, standardization, automation, and continuous improvement.
Berufserfahrung
Ausbildung
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Benefits
- Health and wellness programs
- Flexible work culture
- Family-friendly work culture
- Work-life balance support
- Lifelong learning promotion
- Professional development opportunities
- Knowledge sharing opportunities
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