Data & AI Architect for Insurance Data & AI Platforms

Adcubum AG; Lavamünd; Hybrid; EUR 104,000 - 139,000; Full time

Benefits offered by this job

Flexible work models (hybrid)

International collaboration

Competitive compensation

Job summary

Adcubum AG, the market leader in health and accident insurance software, is modernising Syrius and needs a Data & AI Architect to structure data for advanced analytics and AI across the platform.

You will own the data architecture, define modelling strategies, governance and quality, and shape data behind APIs, while collaborating with management, developers and customers in a multinational setup.

Qualifications

• At least five years in architecture, with three years in data architecture.
• Strong communication with stakeholders at all levels.
• Deep understanding of data modelling and relational/document databases.
• Experience integrating AI solutions into existing applications.
• Business-fluent German and English are required.

Responsibilities

• Own the data architecture of the Syrius Suite through the modernisation.
• Set the strategy for how data is modelled, processed and stored, for relational and document-based persistence alike.
• Shape the business data modelling for insurance and finance, drawing on standard data models where they fit.
• Own the data model behind our APIs and interfaces.
• Define data governance and write the design and modelling guidelines that teams have to follow.
• Determine how data quality gets managed and sustained.
• Shape our data so that AI/ML models can be trained and run efficiently.
• Carry the architecture vision at every level: the C-level, the development teams and our customers.

Skills

Data modelling

Data architecture

AI integration

Stakeholder communication

German & English

Tools

Cloud architectures

SQL/NoSQL databases

Job description

Adcubum AG, the market leader in health and accident insurance software, is modernising Syrius and needs a Data & AI Architect to structure data for advanced analytics and AI across the platform.

You will own the data architecture, define modelling strategies, governance and quality, and shape data behind APIs, while collaborating with management, developers and customers in a multinational setup.