Enterprise Architect Data & AI 16985

Om jobbet

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