Product Strategy & Ownership
Own the vision, strategy, and roadmap for multiple AI products across the Source‑to‑Pay lifecycle (e.g. sourcing, negotiations, contracting, supplier management, buying, savings tracking).
Translate Procurement strategy and pain points into high‑value AI use cases, balancing innovation with practical business impact.
Define product success through clear value metrics, KPIs, and adoption measures, ensuring benefits are realised and sustained.
AI Product Delivery
Lead the end‑to‑end product lifecycle: discovery, POCs, MVPs, scaling, and continuous improvement.
Shape and prioritise the product backlog, working closely with Product Owners, Data Scientists, Data Engineers, AI Engineers, Business Analysts, and Architects.
Ensure AI products are designed responsibly, with appropriate consideration for model performance, explain ability, data quality, security, and compliance.
Stakeholder and External Partners Management
Act as the primary interface between Procurement, IT&D and Partners/Vendors
Partner closely with Procurement leaders across GBS to ensure tight business alignment on benefits delivery and adoption.
Manage and govern relationships with external partners, ensuring outcomes, delivery quality, and knowledge Innovation and Thought Leadership
Stay current with AI trends including LLMs, agent‑based systems, optimisation algorithms, game theory, and decision intelligence, and assess their relevance for Procurement.
Champion experimentation and learning, helping the organisation move from proof‑of‑concept to scaled value.
Act as an AI evangelist within Procurement, able to simplify complex concepts for non‑technical stakeholders.
