Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will shape data architecture, develop high-quality data products, and implement comprehensive data quality frameworks to ensure a unified data platform for analytics and AI in asset management.
Job Technologies
Your role in the team
- Shape the Data Foundation Architecture: Define and evolve the end-to-end architecture of the Data Foundation Layer, establishing a scalable, real-time, and enterprise-wide data platform as the single authoritative source of truth with involvement of business. You will do so according to standards and patterns, controls enforced at Munich Re.
- Drive Data as a Product & Enterprise Data Modeling: 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 domains.
- Ensure 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.
This text has been machine translated. Show original
Our expectations of you
Education
- Degree in Computer Science or a related field (or equivalent experience).
Qualifications
- Deep expertise in modern cloud data architectures (e.g., Databricks, Delta Lake, Azure, streaming, IaC, CI/CD, Informatica IDCM, Kubernetes, Oracle, SQL, Mongo, etc.).
- Solid understanding of AI/ML and MLOps, with the ability to enable data for advanced analytics and GenAI use cases.
- Business-oriented thinker with exposure to Asset Management (or similar domains) and strong stakeholder communication skills.
- Collaborative enabler who drives standards, quality, and alignment across engineering and analytics teams.
- Fluent in English; German is a plus.
Experience
- Proven track record (6+ years) designing and delivering enterprise-scale data platforms and analytics/AI solutions.
- Strong architectural mindset with experience applying frameworks (e.g., TOGAF) and Munich Re architecture patterns in complex environments.
This text has been machine translated. Show original
What we offer
- Munich Re is a global market leader in reinsurance, 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.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Münchener Rückversicherungs-Gesellschaft
Munich RE is your reliable partner for reinsurance, primary insurance, and insurance-related risk solutions. We have the global expertise and long-standing experience to handle all types of insurance.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Senior Data Analytics Architect
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
