Data & AI Architect

CWS-boco International GmbH

Dreieich, Germany

15 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English, German

Job source

wd3.myworkdaysite.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Business Analytics Applications Cyber Security Data Architecture Information Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL) Data Warehousing Identity and Access Management

+11 more

Machine Learning Metadata Cloud Services Data Mesh Standard Sql Large Language Models Generative AI Information Technology Data Management Tools for Reporting GXP

Job description

Shape the strategy: develop our data and AI strategy and roadmap, aligned with our business and IT strategy.
Design the architecture: define our target data architecture and the standards for data integration, storage, modelling and access.
Build the platform: design a central data platform (data warehouse or lakehouse) and build it step by step, prioritised by business value.
Create a single source of truth: define data models, KPIs and master data together with our business units.
Establish data governance: set up data ownership, data quality rules, metadata and access management.
Connect the systems: design and oversee the interfaces between our source systems and the data platform.
Bring AI to life: identify, evaluate and prioritise AI use cases, then take the best ones from proof of concept to stable operation.
Stay compliant: make sure our solutions meet GxP, GDPR, EU AI Act and information security requirements.
Steer partners: select technologies and external partners and lead implementation projects.
Build know-how: advise management, train key users and grow data and AI skills across the organisation., * Real impact: you’ll build our data landscape from the ground up, not just maintain it.
Visibility: you’ll work directly with management and across all business units.
Entrepreneurial environment: short decision paths and room to shape things, backed by a strong international group.
A meaningful industry: your work supports the safe production of medicines and high-tech products.

Requirements

A degree in computer science, data science, business informatics, engineering or a related field
Several years of experience in data architecture, data engineering or BI, including designing and implementing data platforms
Solid knowledge of modern data architectures (data warehouse, lakehouse, data mesh) and cloud data platforms
Strong skills in data modelling, data integration (ETL/ELT, APIs) and SQL
Practical knowledge of machine learning and generative AI (e.g. large language models), including their limits and risks
Experience with data governance, master data management and data quality
Experience with reporting and analytics tools and with enabling self-service analytics
Knowledge of data protection and information security; experience in regulated environments (e.g. GxP) is a plus
Experience leading projects and managing external partners
The ability to turn business needs into architecture, and to explain complex topics clearly to non-technical colleagues
Very good English; German is a plus
A structured, hands-on and independent way of working

Benefits & conditions

Optimal start: A comprehensive, individually tailored onboarding program for an excellent start
Flexibility: 30 vacation days per year and the option to work remotely part of the time
Benefits: Lease bike for private use, company pension plan, childcare subsidy, training and development opportunities, employee events, discounted employee conditions at well-known online shops

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