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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Data Management - **Company:** Allianz SE - **Location:** München, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Cloud Database, Data Architecture, Data Governance, Data Security, Data Structures, Decision Support Systems, Digital Assets, Machine Learning, Meta-Data Management, Reference Data, Azure Machine Learning, Software Safety, Search Technologies, Unstructured Data, Generative AI, Data Strategy, Data Layers, Data Lakes, AI Platforms, Information Technology, Data Lineage, Data Analytics, SAP S/4HANA, Data Management - **Published:** May 17, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=d5ee34cdfaa73535 ## About the Role Do you have experience in SAP S/4HANA?, * Minimum 10 years of experience in Finance data management, enterprise data governance, or large-scale AI-enabled transformation. * Strong expertise in Finance data structures, S/4HANA master data, data lakes, and integration patterns. * Hands-on experience with AI/ML platforms, GenAI architectures, and enterprise AI governance frameworks. * Deep familiarity with DAMA, metadata management, lineage, cataloging, and cloud data architectures. * Proven leadership in implementing global data standards in complex organizations. * Strong communication skills to translate advanced AI/data concepts into business impacts for senior executives. * We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team. ## Description The Head of Data Management is the global executive leader responsible for building and governing the Finance data architecture required to enable a digital, automated, and AI-powered Finance function. This includes establishing enterprise-grade data governance, ensuring master and reference data consistency, and enabling the data foundations needed for analytics, automation, machine learning, and GenAI-driven use cases across Finance. What you do 1.Finance Data Strategy, Governance AI Readiness * Define the global Finance data strategy incorporating AI-readiness and GenAI guardrails. * Establish policies, ownership models, and controls enabling responsible and compliant use of AI-driven capabilities. * Drive the definition of master data, reference data, and semantic data layers optimizing AI/ML consumption. * Lead global governance forums ensuring transparency, accountability, and data stewardship across all Finance entities. 2. Data Architecture Digital Platform Enablement * Shape the Finance data architecture powering S/4HANA, cloud data lakes, analytics platforms, and AI/GenAI accelerators. * Partner with Technology and Group Data to ensure alignment with enterprise data models and AI platform strategy. * Define data integration patterns, feature pipelines, and strategies for structured/unstructured data supporting automation and intelligent workflows. * Ensure Finance data is accessible and fit for AI-enabled decision support, smart reconciliations, automated controls, and GenAI content generation. 3. Data Quality, Controls, Compliance AI Safety * Implement a data quality framework with automated checks, ML-based anomaly detection, and risk scoring. * Ensure data lineage, auditability, and explain ability to support regulatory, audit, and AI governance requirements. * Oversee secure data handling and access controls aligned with GenAI usage policies. * Ensure Finance data meets IFRS, Solvency II, internal controls, and emerging AI regulatory standards. 4. AI, GenAI Advanced Analytics Enablement * Identify AI/ML and GenAI opportunities across Finance, such as automated narratives and predictive forecasting. * Enable creation of Finance-specific GenAI knowledge bases, semantic search, and RAG architectures. * Build data assets and metadata structures optimized for AI/GenAI model training, fine-tuning, and safe deployment. * Promote self-service analytics, AI copilots, and automation tools backed by governed data. 5. Capability Building Organizational Data Literacy * Drive Finance-wide data literacy, upskilling teams on data governance, AI safety, and responsible GenAI usage. * Foster a culture of data ownership, transparency, and innovation around AI and analytics. * Support transformation rollouts by ensuring teams are AI-ready and able to leverage data-driven capabilities. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [The Missing Layer Between Enterprise Data and AI Agents](https://www.wearedevelopers.com/videos/100286-the-missing-layer-between-enterprise-data-and-ai-agents) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [When AI Runs the Business: The Reality of Enterprise-Wide Automation](https://www.wearedevelopers.com/videos/100124-when-ai-runs-the-business-the-reality-of-enterprise-wide-automation) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023) - [IT Salaries in Germany](https://www.wearedevelopers.com/magazine/287-it-salaries-in-germany) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023)