“Infrastructure & Information Security” (IF&S) provides global shared services as well as customized regional services while further developing our cloud, network and security services platforms. The role lies with \"Workplace Services\", a department within IF&S that offers products and services for specific technical needs. This includes notebooks, Mobile devices, Thin Clients, virtual clients (AVC/VDI), desktop file service, Office 365 and service desk. Our goal is to provide a fully digitized and integrated workplace that enables new ways of working for the Allianz Group and ensures digital productivity gains worldwide. You work within Workplace Services in a completely agile environment, organized in so-called squads (product teams) and chapters (role/skills-based teams).
Your main responsibility is to act as the primary point of contact for service-related issues, escalations, and inquiries.
Key Responsibilities:
AI Strategy & Roadmap Ownership
- Define and own the strategy for embedding AI into incident management across Global Workplace Hardware Services
- Identify and prioritise high-value AI use cases (intelligent routing, predictive incident prevention, automated resolution, self-service deflection)
- Build business cases with clear targets and ROI justification
- Act as key partner to the Product Owner and senior stakeholders on AI investment decisions and operational efficiency
Incident Management & Service Operations
- Lead end-to-end incident management - detection, triage, resolution, and post-incident review - minimizing downtime and business impact
- Take overall responsibility for INC queue performance and steer it towards AI-supported, increasingly automated handling
- Handle high-priority incident and escalation management, root cause analysis (RCA), and proactive risk mitigation
- Manage request fulfilment, ticket assignment, and queue/break management across internal and external support teams
- Analyze and prioritize technical issues by business impact
Cross-Functional Collaboration & Stakeholder Management
- Coordinate cross-functional teams (dev, ops, support) during major incidents following ITIL best practices
- Collaborate with the Product Owner to align incident response with squad goals, prioritize features, and remove delivery blockers
- Steer implementation with platform teams, IT, and external providers - from pilot to scaled rollout
- Engage with internal users, technical teams, and 3rd-party providers
- Manage customer expectations and maintain high satisfaction levels
KPI Management, Reporting & Data-Driven Decision Making
- Set and own target KPIs: MTTR, SLA compliance, automation rate, ticket deflection, and cost per incident
- Develop and maintain ServiceNow reporting dashboards covering MTTR, incident trends, SLA compliance, and squad KPIs
- Report progress to management with data-driven insights
- Use AI-powered tools to analyze data and generate actionable operational insights
PART 3
Qualification & Experience
Qualification and Experience:
- Degree in IT, business informatics, engineering or a related field
- 7+ years in IT service operations or service management, including at least 3 years leading AI,
automation or digital transformation initiatives
- Proven track record of delivering measurable efficiency gains through AI or automation at scale
- Strong understanding of ServiceNow ITSM and its AI capabilities (Now Assist, Predictive Intelligence, Virtual Agent)
- Solid grasp of AI and generative AI concepts, their business potential and their risks
- Experience with AI governance and regulatory requirements in a regulated environment (EU AI Act, GDPR, DORA)
- Strong stakeholder management and experience steering external providers
- Strategic thinker with a pragmatic, results-oriented approach; able to turn vision into delivery
- ITIL 4 certification preferred
- Excellent English communication skills; German is an advantage
AI Competencies:
- Basic understanding of Generative AI concepts and enterprise AI use cases.
- Practical experience using AI tools (e.g., Microsoft Copilot, Claude Enterprise) to improve productivity and service management processes.
- Ability to create effective AI prompts and critically evaluate AI-generated outputs.
- Understanding of AI governance, security, privacy, and responsible AI principles.
- Ability to identify and drive AI-powered automation opportunities within IT service operations.
- Experience using AI insights to support service reporting, trend analysis, and decision-making.
- Knowledge of AI risks, limitations, and the importance of human validation of AI-generated content.
- Ability to leverage AI for knowledge management, incident resolution, and problem management activities.
- Strong learning mindset with the ability to stay current on emerging AI technologies and best practices.
- Capability to promote AI adoption and coach teams on effective and responsible use of AI tools.