Senior Data Analytics Architect (m/f/d)*

Requirements

• Your Job
• Shape the Data Foundation Architecture
• Establish reusable, high-quality data products with clear ownership, standardized data models, and full historical context (SCD2), enabling analytics, AI, and regulatory use cases Enable Data Governance, Contracts & Compliance
• Design and enforce data contracts, access control, and federated governance frameworks to ensure trust, regulatory compliance, and controlled data sharing across domainsEnsure Data Quality, Reliability & Observability
• Define and implement end-to-end data quality frameworks, including validation, monitoring, lineage, and auditability, guaranteeing trusted and production-grade data assets [ Enable Transformation & Analytics/AI-Ready Data Ecosystem
• Lead the transition from siloed pipelines to a unified platform, enabling self-service data access and delivering high-quality, model-ready data to power advanced analytics and AI/GenAI use cases
• Your Profile
• Degree in Computer Science or a related field (or equivalent experience)
• Proven track record (6+ years) designing and delivering enterprise-scale data platforms and analytics/AI solutions
• Deep expertise in modern

Additional Information

Go beyond and create global impact: At Munich Re, we're proud to be one of the world's leading providers of reinsurance, primary insurance, and insurance-related risk solutions. Our group is made up of the reinsurance and ERGO business segments, along with our asset management company, MEAG. We operate globally and are active in all lines of the insurance business. Since our founding in 1880, we've built a reputation for unrivalled risk-related expertise and a solid financial foundation. We use our strengths to support our clients' business goals and drive technological progress. We're also at the forefront of developing coverage for emerging risks, from rocket launches and renewable energy to cyber threats and artificial intelligence. With around 44,000 people worldwide, our group's corporate culture is defined by performance, mutual respect, and trust. All this makes us an attractive employer providing global career development opportunities and prospects. Munich Re is a global market leader in re-insurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the expertise of our IT & Tech specialists, and by leveraging data and insights to support innovation and client service. We are therefore making targeted IT investments and helping our insurance clients and partners to tackle problems in the modern digital world with innovative and forward-looking solutions. This role will be part of the Investment & Asset Management Tower for Group Technology (IT1.9), responsible for ensuring the availability, reliability, and maintenance of all investment and asset management systems, applications, and platforms. The Tower manages the seamless transition of new systems or projects to steady-state operations and takes ownership of key business relationships, providing accurate metrics on uptime, issues, and resolutions. Within the Division of Investment Services, the Data Platform & AI unit is at the forefront of building the data and AI foundation that powers Asset Management. Our mandate spans the design and delivery of a modern data platform, advanced analytics capabilities, and scalable AI solutions tailored to asset and investment management needs. In mid-2025, we launched a multi-year transformation program to establish a next-generation data ecosystem. This initiative is focused on creating a robust, evolving enterprise-grade data platform that underpins our analytics and AI capabilities-enabling high-impact insights, regulatory compliance, and differentiated asset management strategies. Your Opportunity We are seeking a seasoned Data Analytics Architect to play a key role in shaping and operationalising this transformation. This is an opportunity to influence foundational architecture decisions, define enterprise data standards, and contribute to a strategic platform that will drive innovation across the organization for many years.

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