Global B2B2C insurance and assistance across health, travel, automotive, and care
Allianz Partners operates a sprawling B2B2C insurance and assistance business across four commercial brands, serving 75 countries with 21,100 employees processing over 71 million cases annually. The tech stack reflects a large, maturing enterprise—Power BI, Salesforce, SAP S/4HANA, and Python/ML libraries (TensorFlow, scikit-learn) sit alongside legacy systems (Access, Cognos, QlikView)—while active hiring in support, ops, and data roles against pain points in claims processing speed, fraud detection, and process automation suggests a push toward modernization and operational efficiency.
Notable leadership hires: Transformation Lead, Sales Operations Lead, Head of Operations, Head of Platform, Communications Head
Allianz Partners is the global insurance and assistance division of Allianz Group, offering products in international health and life, travel insurance, automotive services, and care. The business operates a B2B2C model: solutions are embedded into partner businesses or sold directly to end customers under four brands—Allianz Assistance, Allianz Automotive, Allianz Travel, and Allianz Care. With presence across 75 countries, a multilingual workforce of 21,100, and annual case volume exceeding 71 million, the company handles complex, distributed operations spanning underwriting, claims, roadside assistance, repatriation, and extended warranties. As Worldwide Insurance Partner of the Olympic and Paralympic Movements, the organization balances scale with brand positioning in leisure and mobility-linked insurance.
Core stack includes Power BI, Salesforce, SAP S/4HANA, Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch), SQL Server, AWS, Azure, Tableau, and legacy systems including SAP, Cognos, QlikView, and Business Objects.
Saint-Ouen, France. The company operates in 75 countries and actively hires across North America, Europe, Asia-Pacific, Middle East, and Latin America.
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Allianz Partners's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.