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

We are looking for a Head of Artificial Intelligence and Advanced Analytics (m/f/d), based in Munich or London.

Your Team

Our team is committed to advancing the provision, usage and culture of Data in Allianz Commercial to a next level. We see ourselves as facilitators and enablers of a journey to equip the organization with better skills, cutting edge tools and a future-proof and resilient strategy for data in Allianz Commercial. We collaborate with all our data domains across the entire insurance value chain and experts from our global data office to achieve sustainable impact on our business by data.

The Impact You Will Have

As Head of AI & Advanced Analytics, you will be an executive in the Commercial Global Data Office, leading a team to enhance Allianz Commercial\’s data and AI capabilities. You will develop the AI Center of Excellence (CoE) into a strategic execution hub over three years. Your role involves shaping the data & AI culture, advancing analytics from descriptive to prescriptive and generative, and aligning the analytics strategy with Allianz Commercial\’s goals.

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.

Responsibilities

• 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.

Qualifications

• 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.