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This role is responsible for leading the regional ARC Liability team and implementing loss control best practices across the NA region by ensuring consistent, timely, and high-quality service delivery to Liability UWs and Allianz clients throughout the region. Provide support to the Regional ARC Manager and the Liability Global Matrix Leader in implementing and monitoring agreed priorities and productivity in the region. Drive digital change and the implementation of data-driven tools within the regional ARCL team by aligning with global digital tools and processes. Provide liability exposure analysis and risk improvement consultancy services to NA large corporate clients. Utilize technology and AI to monitor emerging risks in the region, conceptualize claims trends in Liability, and proactively foster collaborations to address these challenges.
Job Responsibility:
Ensure consistent, high-quality service delivery to Liability UWs and Allianz clients throughout NA
Hold disciplinary responsibility for all direct reporting staff
Offer expert recommendations on risk selection and retention as required supporting clients
Deliver the ARCL strategy in the region, monitors applicable KPIs
Complete required annual staff appraisals and guide the growth of the regional ARCL team capabilities
Provide inputs and suggestions for continuous improvement aligned with the ARCL growth plan
Requirements:
Minimum 7 years’ loss prevention engineering experience in an area relevant to his/her LoB
Knowledge and professional experience in business sectors
Risk Consulting experience in the space of Liability with broader understanding of different sub-lines
Experience in leading a team of professional in a complex global matrix organization
Ability to lead and manage a team of risk consultants
Experience with international colleagues and an understanding of differing cultural business needs
Master's degree in Engineering or Science (preferably in a line associated with his/her LoB) or Bachelor’s degree or equivalent in other area will be considered in conjunction with extensive technical experience
A demonstrable engineering/technical expertise
Ability to express ideas and messages clearly, both written and verbally
Presentation skills in a varied environment
Organizational and interpersonal skills
Commitment to maintaining knowledge of developments and new technologies including data analytics and agentic AI in field
The ability to utilize AI tools to support day-today tasks, improve efficiency, and contribute to data-driven decision-making is valuable
Nice to have:
Master's degree in Engineering or Science
Ability to utilize AI tools to support day-today tasks, improve efficiency, and contribute to data-driven decision-making
What we offer:
Hybrid working model
Great compensation and benefits package
Generous bonus scheme and pension
Career development and digital learning programs
International career mobility
Support for flexible working, health, and wellbeing
Private healthcare
Generous parental leave benefits
Opportunities to be engaged in shaping a future that is safe, inclusive, and sustainable
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