Job
- Level
- Senior
- Location
- Hamburg, Stuttgart, Berlin, Dusseldorf, Munich, Cologne, Eschborn
- Working Model
- Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this position, you will develop end-to-end architectures for cloud-based data platforms in the insurance sector, lead multidisciplinary teams, and implement data strategies focusing on AI/ML and cloud technologies.
Job Technologies
Your role in the team
- As part of our Technology Strategy Team specializing in the financial services sector in Munich, Frankfurt/Main, Düsseldorf, Stuttgart, Hamburg, Cologne, or Berlin, you will take responsibility for advising our clients on topics related to data and AI transformations.
- Leadership of multidisciplinary teams and responsibility for the end-to-end architecture of modern data platforms on Azure (preferred), AWS, or GCP (e.g., Lakehouse, Data Mesh, Streaming, Real-time, MDM) with integrated security, governance, and FinOps, as well as quality assurance and the perception of the Design Authority.
- Moderation of architecture decisions and transparent communication of trade-offs.
- Design of data platforms for scaling AI/ML and GenAI (e.g., feature stores, semantic layers, data provisioning for AI workloads) as well as active management of architecture risks, dependencies, and technical debt.
- Definition of blueprints for data products, integration patterns, and SLAs for use cases in analytics, AI/ML, and operational processes.
- Establishment of data governance, data catalogs, data lineage, and data protection controls.
- Translation of business and regulatory requirements (e.g., IFRS 17, Solvency II, Actuarial, Underwriting, Claims Management, Risk, and Finance) into target data architectures and pragmatic roadmaps.
- Collaboration with client-side and internal leadership, involvement in proposals, position papers, reusable solution components (Accelerators), as well as mentoring and professional development of team members.
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Our expectations of you
Education
- Completed degree in (Business) Informatics, (Business) Mathematics, Physics, Statistics, Engineering or another field with a technological-analytical background and more than 5 years of professional experience in designing and deploying cloud-based data platforms on Azure, AWS, or GCP.
Qualifications
- In-depth knowledge of the insurance industry, a solid understanding of regulatory requirements, and strong consulting, leadership, and technology strategy skills with a focus on translating business objectives into scalable, future-proof solution architectures for modern data and cloud platforms, alongside a pronounced understanding of architecture and pattern recognition.
- Excellent communication skills in German (at least C1 level) and English.
- Agile: You believe that a flexible mindset is just as important for success as knowledge and skills.
- Curious: You are ambitious and committed. We are looking for people who think in terms of opportunities rather than challenges and find better solutions through targeted questions.
- Team-oriented: You value diverse perspectives and enjoy working in a team. We are looking for people who want to achieve something together with us and create a trusting work environment.
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What we offer
- At EY, you work in high-performing, interdisciplinary teams with innovative technologies.
- In a flexible and inclusive work environment, we support you in your various life situations.
- Inspiring colleagues as well as on- and off-the-job training and development opportunities help you to grow beyond yourself and further develop the skills you will need in the future.
- A steep learning curve is guaranteed for you.
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Topics You Will Work On
Job Locations
About Your Employer
EY Consulting GmbH
As part of the global EY organization, EY Consulting GmbH offers comprehensive consulting services that help companies tackle complex challenges and find sustainable solutions.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Consulting
Manager Data Platforms Solution Architect - Insurance
- Location
- Hamburg, Stuttgart, Berlin, Dusseldorf, Munich, Cologne, Eschborn
- Working Model
- Onsite
- Diversity
- Open for all genders
