Head of Artificial Intelligence and Advanced Analytics (m/f/d)

Responsibilities include establishing governance frameworks, building shared platforms, and positioning the CoE as a strategic partner. Collaboration with business stakeholders is essential, as is leading and mentoring a high-performing team. 

Some of your specific responsibilities could include: 

• Develop and execute Allianz Commercial's analytics strategy, aligning with company goals and establishing the AI Center of Excellence as a strategic partner over a three-year roadmap. 

• Collaborate with business stakeholders to identify analytics opportunities, oversee project lifecycles, and ensure seamless AI integration into core systems with measurable impact. 

• Lead and mentor a high-performing team of analysts and data scientists, guiding their professional development and consolidating AI talent into the CoE. 

• Implement a governance framework for AI systems, harmonize toolstack and methodologies, and establish the Cross-Functional AI Council to ensure compliance and strategic alignment. 

• Collaborate with analytics leads to realize synergies, maintain the AI Initiative Registry for transparency, and communicate complex findings to non-technical stakeholders. 

• Act as a Subject Matter Expert for new technologies, support AI research agenda, and represent Allianz Commercial at conferences to establish thought leadership in AI for insurance. 

• Manage the analytics technology ecosystem, providing shared platforms and coordinating vendor management for AI tools to enhance efficiency and value. 

• Foster AI culture and community, sponsor the AI Community of Practice, and partner with leaders to drive data-driven decision-making across Allianz Commercial. 

What You’ll Bring to the Role: 

• Expertise in statistical modeling, machine learning, and data analysis tools, including Generative AI and Agentic Frameworks, with knowledge of major cloud providers like Microsoft and AWS. 

• Familiarity with insurance industry concepts such as underwriting, claims, actuarial, and risk management, with minimum 5-7 years of experience in building or managing technology solutions for insurance operations. 

• Experience with cloud platforms, API-driven architectures, and modern data infrastructure, including MLOps, with minimum 3-5 years in managing scalable cloud-native platforms and API ecosystems. 

• Proven ability to manage data-driven product initiatives and analytics projects, understanding how analytics creates business value and drives decision-making. 

• Strong business acumen to translate business challenges into analytical problems, providing data-driven solutions and recommendations. 

• Excellent leadership and team management skills, with experience in mentoring high-performing analytics teams and leading cross-functional, globally distributed teams. 

• Strong communication and presentation skills to effectively convey complex analytical findings to non-technical stakeholders and executive stakeholders, translating technical concepts into business value. 

• Expertise in integrating AI into various business functions, enhancing efficiency, and fostering a culture of data-driven innovation is crucial.