Enterprise Domain Architect - Data

As Enterprise Domain Architect – Data & Information at ABB, you shape how data drives value across the company. You define and govern the enterprise data architecture to enable trusted, interoperable data across a decentralized organization. You will set guardrails and standards to align data initiatives with enterprise architecture, platforms, analytics, and AI. You will work across domains to design modern data ecosystems and enable data-driven use cases, analytics, and data sharing at scale.

• Define and evolve the enterprise data & information architecture blueprint
• Establish data domains, core data models, and enterprise information flows
• Set and govern pragmatic data standards (modelling, metadata, lifecycle, interoperability)
• Ensure alignment with regulatory and compliance requirements (privacy, security, data sovereignty)
• Guide the design of modern data ecosystems (lakehouse, streaming, data products, data mesh)
• Enable analytics, AI, and data-driven use cases through scalable architecture
• Define patterns for data sharing and integration across platforms and domains
• Collaborate with architects, platform teams, and business stakeholders to support adoption
• Support governance processes, including architecture reviews and risk management
• Coach and guide domain and solution architects on data architecture best practices

• 10+ years of experience in data, information, or enterprise architecture roles
• Experience building enterprise-scale data architecture in complex, decentralized environments
• Deep experience in data modeling, governance, and contemporary data architectures such as lakehouse, data mesh, and APIs
• Experience with cloud-based data platforms, analytics, and AI/ML ecosystems
• Skilled in stakeholder engagement and working collaboratively across organizational boundaries
• Ability to translate complex technical concepts into clear business value
• Strategic mindset combined with pragmatic, delivery-oriented thinking

• stakeholder engagement
• collaboration across organizational boundaries
• clear communication of complex concepts
• data modeling
• governance
• lakehouse