Digital & AI Transformation Director – Asset Management

Responsibilities

• Set the Digital & AI direction for the Service Line
• Create an Asset Management specific digital & AI strategy in the context of our 3yr-out vision and strategy of the Asset Management, and the strategic priorities of Industries & Sectors.
• Define and regularly update “digital must-win” areas by conducting competitor analyses and gap analysis within existing portfolio of tools and digital products and partnerships.
• Identify which Asset Management delivery domains and workflows must be redesigned.
• Setup collaboration rhythm with Digital Intelligence, Investment governance, pipeline management approach and prioritization framework, change network, CoPs, etc.
• Set clear objectives for the transformation that link to overall Asset Management performance metrics.
• Collect and pro-actively source digital opportunities and use cases within the organization, in close collaboration with peers in other Service Lines and Industries.
• Kick-start and actively participate in AI studios around the most promising opportunities, to quickly validate and potentially prototype, ideally in real client settings.
• Work closely together with Digital Intelligence counterparts to make buy/build/partner decisions, as well as start/continue/stop decisions, following pre-set guidelines.
• Actively stop or kill initiatives that do not demonstrate clear value, adoption potential, or strategic fit.
• Participate regularly in client conversations to better understand client needs.
• Act as primary interface and product sponsor to product managers, e.g., help get funding, set requirements, mobilize business SME involvement, anything needed to deliver at pace.
• Redesign end‑to‑end Asset Management delivery workflows to embed digital and AI where they materially improve outcomes.
• Work with Service Line leadership to support adjustments to new ways of working.
• Build a local network of digital & AI champions (change agents and catalysts) within each Service Area Group.
• Strengthen foundational digital skills and AI usage within the organization (e.g., Drive Citizen Development participation, measure and steer on AI usage, make part of SPO).
• Setup adoption campaigns around new tooling / digital products, and ways of working, incl. training programs and updated global procedures.
• Turn global data strategy into an actionable plan within the service line, with clear focus around the priority areas (digital must-wins).
• Create knowledge and data libraries around discipline areas, managed within Communities of Practice.
• Setup data governance (who collects, who structures and maintains) and measure adherence and progress.
• Define any other pre-requisites for digital innovation and bake into transformation plan.
• Own the Asset Management Digital and AI innovation backlog and roadmap, in partnership with Digital Intelligence, ensuring alignment to strategic priorities and measurable value delivery.
• Drive investment prioritisation and portfolio transparency within the Innovation governance framework, enabling clear decision-making and optimal allocation of resources.
• Champion digital adoption across the Asset Management workforce and project delivery, working closely with Services leadership to embed tools, behaviours, and ways of working that maximise impact.

• Extensive leadership experience building and scaling global digital, AI, automation or technology-enabled capabilities within the AEC or related professional services industry, with clear accountability for capability maturity, business value and enterprise impact.
• 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, with a strong understanding of how these can be applied to improve delivery models, business performance and client outcomes within complex organizational environments.
• Demonstrated…