Aktuelle Jobs im Zusammenhang mit Data Architect Lead for Strategic Business Growth - Wien, Wien - REWE International IT
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Strategic Investment Leader for Emerging Markets
vor 4 Wochen
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vor 1 Monat
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Cloud Solution Architect Lead
vor 1 Monat
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Strategic Portfolio Manager
vor 3 Wochen
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Data Architect Lead for Strategic Business Growth
vor 1 Monat
As a seasoned professional, you will take on the pivotal role of Data Architect Lead at REWE International IT, driving strategic business growth through innovative data strategies.
The position involves overseeing the development and implementation of comprehensive data governance frameworks, ensuring seamless data integration, quality, and delivery to support key business initiatives and roadmaps.
You will lead in defining and managing standards, guidelines, and processes that guarantee data excellence and adherence to company policies.
A crucial aspect of this role is securing strong engagement with senior business stakeholders, aligning project delivery with long-term strategic objectives.
With your expertise, you will simplify existing data architecture, creating reusable services that unlock cost-saving opportunities while aligning with company standards.
In addition, you will play a key part in peer review and quality assurance of architectural artifacts across Enterprise Architecture, ensuring technology solutions are aligned with data architecture principles.
This demanding yet rewarding position requires proficiency in modern data architectures, cloud services, real-time data distribution, and modern data warehouse tools. You should also possess experience with database technologies, entity-relationship modeling, metadata systems, and data quality tools.
As a skilled analytical problem-solver, you will assess traditional and modern data architecture components based on business needs and communicate complex information effectively to senior management.
The ideal candidate can synthesize large volumes of complex data, express themselves fluently in both English and German, and regularly adapt to new technologies, especially in the ML/AI realm.