Level

ABB

Enterprise Domain Architect - Data

AI in this role

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

Global Head IS Enterprise Architecture

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As Enterprise Domain Architect – Data & Information, you will shape how data drives value across ABB. You will define and govern the enterprise-wide data architecture, enabling trusted, interoperable, and reusable data across a decentralized organization.

Operating at a strategic, cross-domain level, you will establish guardrails and standards that empower business units to innovate while ensuring alignment with enterprise architecture, digital platforms, analytics, and AI initiatives.

Your Responsibilities

  • 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 (e.g., 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

Your Background & Experiences

  • 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

Join us to establish the foundation of data-driven innovation and enable scalable, future-ready data capabilities across ABB.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

How we score this

Enterprise Domain Architect - Data at ABB scores 68 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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