AtkinsRéalis is looking for a Director, Artificial Intelligence, Finance to turn the potential of AI into measurable improvements in how Finance works and how the business makes decisions. The Director will define a practical AI strategy, identify the opportunities worth pursuing and lead a disciplined portfolio from business case through adoption and verified results. They will also personally design, build, test and help deploy practical Finance agents and AI-enabled workflows within approved enterprise environments. Success means tangible outcomes: capacity released for higher‑value work, faster and better‑informed decisions, stronger controls, improved cash performance and protection of project margins. The role is not about deploying technology for its own sake or accumulating pilots that never change how Finance operates. Leading a small team with a global mandate, the Director will bring together Finance leaders and process owners with the Financial Systems Centre of Excellence (CoE), IT, Global Digital, the Chief Digital Officer's'organization, and data, cybersecurity, privacy and risk specialists. They will develop Finance‑specific strategy and governance within enterprise standards, not create competing platforms or policies. You are a business‑led AI and transformation leader who combines strategic ambition, financial discipline and genuine hands‑on ability. You can inspire executives, challenge a weak business case and align Finance, Digital, IT and control teams. You are as comfortable discussing strategy as you are building an agent to test an idea with users. Define and communicate a value-first AI strategy and roadmap for Global Finance, aligned with Finance priorities, enterprise AI strategy, technology standards and the Financial Systems roadmap.



Determine where AI can materially improve outcomes, where conventional automation or process redesign is preferable, and where an opportunity should not proceed. Build a shared agenda across FP&A;, Controllership, Project Finance and other Finance teams; Advise Finance leadership on investment choices, dependencies and risks; secure sponsorship and rally teams that do not report to the Director. assess business value, process and data readiness, feasibility, adoption, total cost and risk. Prioritize a few opportunities with a credible path to impact over a large collection of pilots. Candidate areas include reporting commentary, Finance knowledge access, exception handling, forecasting support, collections and project-margin early warning; Require proportionate business cases before material investment, with baselines, expected perks, implementation and ongoing costs, risks, dependencies, adoption assumptions and alternatives. track investment and realized value at use‑case and portfolio levels, with independent validation where appropriate. Report candidly on adoption, net value, cost and control effectiveness; Personally design, build and refine selected Finance agents and AI‑enabled workflows, especially early prototypes and focused solutions that accelerate learning. Use Microsoft Copilot and Copilot Studio hands‑on to configure agents, test them with users, assess reliability and improve outputs based on feedback.



Use AI tools regularly in professional work to improve analysis, research, drafting and workflow execution, applying appropriate review and data‑handling requirements. Turn Finance problems into working demonstrations; partner with Digital and IT on supported deployment. Translate enterprise AI policy and standards into a Finance operating model covering ownership, intake, risk assessment, testing, approvals, human oversight, monitoring and lifecycle management. Partner with Digital, IT, the Chief Digital Officer's'organization, Cybersecurity, Privacy, Legal, Risk and Internal Audit to clarify decision rights and navigate the path from idea to approved production use. Protect sensitive Finance and client information through appropriate access, validation, traceability and human review before AI outputs inform reporting or decisions. Work with data and process owners on source quality, definitions and controls; Agree delivery responsibilities with Digital and IT while retaining Finance accountability for business outcomes; redesign workflows with process owners around human decisions, exceptions and controls. Lead communications, training and feedback to build user confidence; create reusable approaches that can scale across regions while respecting genuine process and risk differences. Build and coach a small team with commercial judgment, hands‑on capability and delivery discipline; mobilize a federated network of Finance champions, process owners and enterprise specialists. Create a culture of curiosity, constructive challenge, accountability and collaboration, including the confidence to recommend "not AI" when appropriate. Represent Finance in enterprise AI forums and lead by example as both

📌 Director, Artificial Intelligence, Finance (Canada)
🏢 AtkinsRéalis
📍 Canada