Job Description

MEAG is part of Munich Re Group and one of the world's foremost asset managers.

As the asset manager of Munich Re and ERGO, MEAG makes a significant contribution to the success of Munich Re Group. Our staff bring together peerless know-how in all the relevant asset classes and are the driving force behind our success as one of the world's top asset managers.

We are seeking a skilled and motivated Data Product Owner to join our Data Enablement Team within the (Gen)AI & Data Transformation department. The Data Enablement Team is responsible for establishing MEAG's enterprise data platform and data governance capabilities. The platform will serve as the strategic foundation for analytics, reporting, AI solutions, and agentic AI use cases across the organization.

Shape the future with us

• Play a key role in establishing and scaling MEAG's Data Governance organization
• Contribute to the evolution of MEAG’s Data Platform as the strategic data foundation for analytics and agentic AI capabilities
• Own and prioritize the central backlog for Data Products and drive agile delivery with business stakeholders, Munich Re IT and subject matter experts
• Embed data governance across the Data Product lifecycle, including ownership, metadata, data quality and transparency
• Shape and deliver Data Products that support analytics, reporting and AI use cases across MEAG
• Stay current with emerging trends in data and AI to continuously improve data enablement capabilities

Your talents

• Master’s degree in data science, computer science, statistics or a related field
• 5+ years of professional experience in data engineering, data product management or data-centric product development in complex environments
• Strong understanding of data governance, including metadata management, data quality, ownership, lineage and transparency
• Solid expertise in data modeling, pipeline orchestration and modern data platforms
• Experience preparing data platforms and Data Products for AI use cases, including semantic data structures, business context and metadata management
• Solid programming skills in Python and SQL, with experience in cloud-based data platforms and big data technologies (e.g., Apache Spark, Azure, AWS, GCP)
• Strong communication and stakeholder management skills, with a proven ability to align cross-functional teams around data product goals
• Excellent organizational and prioritization skills in a fast-paced environment
• Domain knowledge in the financial industry is a plus
• Business fluency in both English and German (minimum C1 level)

These benefits await you

• Flexibility: Mobile work (option to work from home a few days a week), 30 days of vacation
• Asset Accumulation & Retirement Planning: Company pension system & employee savings plan
• Development: Intensive professional & personal development (internal & external offerings), LinkedIn Learning access
• Health: Comprehensive company doctor services, Urban Sports cooperation
• Family: pme family service, childcare allowance, care assistance, cooperation with daycare centers, flexible working hours
• Other: Daily free lunch in our cafeteria, Free hot drinks & water, 'Deutschland Ticket Job' subsidy, Events, Underground parking garage with e-charging infrastructure & much more!
• *Please note that this list is based on current collective agreements. These may change. The list is for information purposes only. We do not accept any liability for individual points.
• MEAG stands not only for a partnership-based relationship with customers, but also for fair treatment of applicants and employees. Regardless of gender. So if we use the masculine form of personal designations, this is purely for the sake of readability. Applicants with disabilities will be given preferential consideration if they are otherwise essentially equally qualified.