Arbetsbeskrivning

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