Veritaz ABSweden

Enterprise Architect Data & AI 16985

Deadline: 2026-04-26

Description

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are looking for an Enterprise Architect

  • Data & AI What You Will Work On Define and establish Data, Analytics, and AI technical roadmaps Develop target architectures and enablement strategies for scalable adoption Act as a bridge between business and IT, translating needs into architecture solutions Define and maintain architecture frameworks, principles, and governance models Conduct architecture reviews and establish reference architectures Guide data and AI initiatives ensuring alignment with strategy and standards Collaborate with cross-domain architects and stakeholders across the organization Drive AI and data transformation initiatives within business and IT domains Lead and mentor a team of solution architects Manage dependencies, platforms, and project portfolios within the domain Participate in governance forums and architecture committees What You Bring 12+ years of experience in enterprise architecture, data, or AI domains Strong experience in AI, analytics, and data transformation initiatives Proven background in data/AI solution delivery or advisory roles Solid understanding of data platforms, AI technologies, and analytics ecosystems Experience with Microsoft cloud technologies (Azure) Strong knowledge of data governance, data flows, and data quality management Ability to balance strategic thinking with hands-on execution Experience working in complex, global environments Familiarity with Agile methodologies in data/AI contexts Excellent communication, stakeholder management, and storytelling skills Experience leading or mentoring architecture teams Academic background in Engineering, Data Science, Informatics, or similar Fluent in English

Skills

AzureAgile

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