Senior AI and Analytics Leader
vor 4 Wochen
Your Role
Facilitate and assist the head of RDAC in the transformation strategy driven by AI and analytics within Life & Health, ensuring alignment across various functional streams such as data governance, biometrics, AI/analytics, and the foundational infrastructure and systems. Develop and implement region-wide methodologies and prioritization frameworks for AI and analytics projects and strategic investments. Design and propose regionally relevant AI and knowledge products and services for both internal and external stakeholders throughout the entire value chain. Transform insights into value creation by identifying opportunities for risk assessment, enhancing existing reinsurance offerings, and innovating new products, while serving as a liaison for internal and external clients and stakeholders. Collaborate with cross-functional and regional teams to foster a culture of data-driven decision-making, providing training and support to staff on best practices in AI and analytics. Establish and uphold comprehensive governance frameworks, policies, and procedures for AI and analytics to ensure quality, security, and compliance with industry standards. Organize operational tasks, allocate resources, guide functional teams, coordinate processes, and manage projects to ensure scalability.Your Qualifications
Advanced degree in computer science, business administration, mathematics, or a related scientific field. Profound understanding of (re)insurance business operations and the capability to translate AI technologies into tangible business value. Significant experience in AI, machine learning, data analytics, and their application within the Life and Health sector. Proven project and team leadership experience in managing cross-functional teams and steering strategic initiatives, preferably in a technology or data-centric role. Strong project management abilities with a track record of leading complex AI projects from ideation to implementation. Capacity to prioritize corporate initiatives based on their business impact, feasibility, and resource availability. Adaptability and a curious, innovative mindset, with the ability to take ownership and work autonomously. Familiarity with data privacy and AI regulatory frameworks pertinent to the (re)insurance sector. Excellent proficiency in both written and spoken German and English.About Munich Re
As a leading global reinsurance firm with over 11,000 employees across more than 50 locations, Munich Re is redefining the insurance landscape. By transforming uncertainty into manageable risk, we enable significant societal changes, addressing issues such as climate change, major construction projects, medical risk assessment, and even space exploration.
We foster a culture where diverse teams are encouraged to think innovatively. We create unique solutions for our clients and nurture a spirit of innovation.
Our employees are our most valuable asset, which is why we provide a comprehensive range of benefits.
Unlock Your Potential
Diversity, Equity & Inclusion: We value diverse perspectives and believe that inclusivity drives innovation and resilience. Continuous Learning: We prioritize ongoing education as a key differentiator and essential for skill development and growth. Career Mobility: We actively promote career advancement, leveraging our extensive global and regional presence to create numerous growth opportunities.Rewards & Recognition
Competitive Salary: Fair compensation reflecting your dedication and contributions. Retirement Provision: Advanced in-house pension solutions. Work-Life Balance: Encouraging a harmonious balance between professional and personal life. Health Management: Prioritizing your physical and mental well-being beyond legal requirements. Hybrid Working: Offering flexibility to enjoy the best of both in-office and remote work environments.-
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