Group Data Transformation - Technical Delivery Lead (m/f/d) at Allianz SE

Overview

The Group Data Governance & Architecture department within Allianz SE / Group Technology and Data provides the foundation for the Data & AI Strategy for Allianz Group, driving the Global Data Program and supporting the data transformation of the Allianz entities around the globe. As a Data Transformation Officer you will support Chief Data Officers and their teams within Allianz entities in their data transformation, supporting the development and evolution of global data standards and guidelines.

Responsibilities

• Lead the end‑to‑end technical delivery of Allianz's four Data Foundation layers: Modern Self‑Service Data Platform (Allianz Data Platform / Lakehouse), Federated Data Governance, Data Product Management, and Industrialised AI Integration.
• Drive the transformation of legacy data landscapes (SAS, Oracle, GDP 1.5) toward modern, cloud‑native architectures based on open table formats (Iceberg, Delta) and platforms such as Databricks and Microsoft Fabric.
• Architect and implement Data Mesh concepts across Operating Entities, enabling federated data ownership while maintaining Group‑level governance standards (AFRDATA compliance).
• Design and deliver scalable Data Product pipelines and self‑service capabilities that accelerate AI and (Gen)AI use‑case deployment across Allianz OEs.
• Translate Group Data & AI Strategy ambitions into concrete technical roadmaps, delivery plans, and measurable outcomes in close collaboration with CDOs, HoITs, and platform teams.
• Manage and coordinate distributed delivery teams across multiple locations (on‑site, near‑shore, offshore), ensuring high‑quality execution within budget and timeline.
• Embed platform‑native governance, data quality controls, and security standards into every layer of the Data Foundation from day one.
• Define and track technical KPIs for each foundation layer, enabling transparent reporting to senior stakeholders and steering boards.
• Act as a hands‑on engineering and architecture authority – bridging strategy and execution by staying close to the code, the platforms, and the teams.

Minimum Qualifications

• University degree in Computer Science, Mathematics, Data Engineering, or a related technical field.
• Minimum 8 years of hands‑on experience in data engineering, data platform architecture, or data‑intensive transformation programmes – with at least 3 years in a technical leadership role.
• Proven track record of delivering complex, multi‑layer data platform transformations in large, regulated enterprises (insurance, financial services or similar).
• Deep technical expertise in modern data stack components: cloud data platforms (AWS, Azure, GCP), lakehouse architectures (Databricks, Microsoft Fabric), open table formats (Iceberg, Delta), orchestration (e.g. Kafka/Confluent), and transformation tooling (e.g. dbt).
• Experience with Data Mesh architecture patterns, federated governance models, and data product thinking at scale.
• Hands‑on experience integrating (Gen)AI capabilities into data pipelines and managing the associated governance and security challenges (e.g. Shadow AI mitigation).
• Strong delivery management skills: budget ownership (10M+ EUR), multi‑location team leadership (internals and externals), and provider/partner management.
• Fluent in English (C1); German is a strong plus given the Allianz SE / Allianz Technology context.

Preferred Qualifications

• Prior experience in the Allianz Group (OE, Allianz Technology, or Allianz Services) is a significant advantage.
• Familiarity with AFRDATA (Allianz Functional Rule for Data) compliance requirements and Group Data governance frameworks.
• Experience decommissioning legacy data environments (SAS, Oracle, on‑prem DWH) in parallel with new platform ramp‑up.
• Background in Agile/DevOps delivery methods with the ability to coach and upskill teams through transformation.
• Systemic thinking and structured problem‑solving – able to hold both the technical depth and the strategic altitude simultaneously.
• Strong communicator who can translate complex technical architecture decisions into business‑relevant language for CDOs, board‑level stakeholders, and engineering teams alike.
• Self‑driven, hands‑on mentality with high result orientation and resilience in ambiguous, fast‑moving environments.
• Experience working in matrixed, multinational organisations with distributed accountability.
• Previous experience in insurance or asset management business functions, consulting, digital / tech is a plus.
• Experience applying ChatGPT, Generative AI, and Ethical AI solutions.

Benefits

• Flexible and hybrid work model.
• Multinational and inclusive community.
• Great career development and learning opportunities.
• Company pension and health insurance.
• Employee stock purchase programme with a discount.
• Health and well‑being offerings.
• Supportive family‑care benefits.
• Opportunity to contribute to sustainability programmes.
• Great place to work certified.

Equal Opportunity Employer

We want to give all our candidates the best opportunity to succeed. If you need any adjustments to be made during the application and selection process, please email to RECRUITING‑

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.