- Accountable for rewiring how Architecture + Urbanism delivers value to clients by embedding digital, data, and AI capabilities into core delivery workflows
- Create an Architecture + Urbanism specific digital & AI strategy
- Define and regularly update “digital must-win” areas by conducting competitor analyses
- Identify which Architecture + Urbanism delivery domains and workloads must be redesigned
- Setup collaboration rhythm with Digital Intelligence
- Collect and pro-actively source digital opportunities and use cases within the organization
- Redesign end‑to‑end Architecture + Urbanism delivery workflows to embed digital and AI
- Build a local network of digital & AI champions within each Service Area Group
- Turn global data strategy into an actionable plan within the service line
- Drive investment prioritisation and portfolio transparency within the Innovation governance framework
Requirements
- Extensive leadership experience building and scaling global digital, AI, automation or technology-enabled capabilities within the AEC or related professional services industry
- Experience embedding responsible AI principles, including governance, transparency, human oversight, risk mitigation and regulatory alignment into enterprise AI adoption and operational practices
- Proven strategic leadership in defining and executing a global Digital & AI capability vision aligned to business goals, enterprise priorities and long-term transformation objectives
- Deep expertise in digital, AI, automation and emerging technologies
- Demonstrated experience driving organizational change and broad adoption of new digital and AI capabilities
- Proven ability to influence and align senior stakeholders across global, regional and local teams
- Governance and risk management experience, including understanding of data privacy, AI ethics, information security and relevant compliance requirements
- Degree level education in a relevant technical or commercial discipline such as digital technology, data science, artificial intelligence, computer science, engineering, business or a related field
- Advanced degree preferred such as an MBA or a relevant Master’s in artificial intelligence, data science, digital transformation
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