AI & Agentic Transformation Manager

Role Overview The Finance AI Agentic Transformation Lead drives the transformation of Finance, Procurement GIS (the full Finance BU) towards an AI-enabled and increasingly agentic operating model. The role reimagines end-to-end processes, roles and ways of working across Finance, Procurement and GIS around AI agents and human-agent collaboration, with a strong emphasis on simplification and process redesign in the era of AI: removing complexity first, then standardising, automating and augmenting with agents, rather than” simply agentifying” existing tasks. The role contributes to a future-ready, efficient Finance organisation. Strong personal drive, a relentless focus on results and the ability to work autonomously are essential. The role takes ownership of projects and initiatives, proactively moving them forward from idea to implementation and delivering tangible outcomes. Scope The full Finance BU: Finance, Procurement GIS. The role works on the end-to-end processes that run across these three areas, not on a single function. AI perimeter The role focuses on applying AI, agents and automation to Finance, Procurement GIS processes and ways of working: identifying and designing use cases, redesigning and simplifying processes, driving adoption, and making sure the data foundations are ready. The role needs a good understanding of the company AI strategy, the AI and data platforms, and the technical build and run of solutions, but does not own them. These remain with the central Data AI and IT teams, with whom the role works closely. Focus areas Simplification Process Redesign in the AI Era Identify and remove complexity across Finance, Procurement and GIS processes Reimagine end-to-end processes to harness the full potential of AI, not just automate existing tasks Lead simplification and standardisation initiatives across the full FIN BU scope Agentic Transformation AI Adoption Identify the processes and activities with the highest potential for agentic transformation and process reinvention Translate Finance/business needs into agentic use cases and new ways of working Accelerate AI, automation and agent adoption through human-agent collaboration Standardisation, Scaling Reuse Turn simplified processes into AI-enabled solutions, combining automation, analytics, GenAI and agents where each adds the most value Standardise and harmonise processes, controls and tooling across Finance, Procurement and GIS so solutions can scale Reuse proven solutions, capabilities and lessons learned from other BUs Data Foundations Data quality: reliable, consistent and traceable data as the basis for automation and AI agents Data architecture: understanding how Finance, Procurement and GIS data flows across systems, platforms and semantic layers, and how agents consume it Data governance: clear ownership, definitions, standards, access and controls Future Finance Operating Model Contribute to the future Finance Operating Model: roles, ways of working and governance around AI agents Define how work is shared between people and agents across end-to-end processes Support the development of AI-fluent skills across the Finance community This role is a key contributor to the transformation, ensuring that simplification, automation and AI/agentic initiatives translate into tangible business value (productivity, better insights, improved quality and simpler processes) across the full Finance BU scope. Key Responsibilities: Opportunity Identification Prioritisation Identify Finance, Procurement and GIS processes and activities with the highest potential for simplification, automation and agentic transformation. Translate Finance/business needs into agentic use cases and new ways of working. Prioritise opportunities based on business value, feasibility and data readiness. Simplification Process Redesign Identify and remove complexity across end-to-end Finance, Procurement and GIS processes. Reimagine processes end to end rather than simply automating existing tasks, with simplification as the starting point in the era of AI. Lead simplification and standardisation initiatives, including process maps, controls and KPIs. Agentic Use Case Design Delivery Take ownership of and lead selected projects and initiatives autonomously, from opportunity identification and design through experimentation, implementation and adoption. Proactively set milestones, coordinate stakeholders, resolve blockers and drive delivery of tangible results. Drive pilots and proofs of concept to test new technologies, AI agents and process enhancements. Design human-agent collaboration models, including controls, escalation points and accountability. Automation AI Adoption Accelerate AI, automation and agent adoption across Finance, Procurement and GIS. Monitor AI and automation innovations in the market and in the platforms in use, and assess their applicability. Bring capabilities, solutions and lessons learned from other BUs into Finance. Data Quality, Architecture Governance Ensure the data needed for automation and AI agents is of sufficient quality, consistent and well defined across Finance, Procurement and GIS. Contribute to the data architecture (data flows, platforms, semantic layer) so that processes and agents can reliably access and use Finance data. Work with data management and governance teams on ownership, definitions, standards, access rights and controls. Future Finance Operating Model Contribute to the future Finance BU Operating Model, reimagining roles and ways of working around AI agents and human-agent collaboration. Ensure process designs and governance remain coherent across Finance, Procurement and GIS. Support adoption and development of AI-fluent skills across the Finance community. Cross-Functional Collaboration Connect Finance, Procurement and GIS with expertise across business, data, AI, IT and transformation. Facilitate workshops to gather business needs and translate them into process, data and system requirements. Act as a liaison between process owners, IT, data teams and transformation programmes to keep end-to-end processes aligned. Value Realisation Change Ensure transformation translates into tangible business value, such as productivity, better insights, improved quality and simplified processes. Define and track KPIs and benefits for simplification, automation and AI initiatives. Lead change impact assessments and support communication, training and adoption as a change champion.