Architect and lead end-to-end AI transformation programmes within retail: from visioning and strategy through roadmap, business case, use-case prioritisation, value capture model, and scaling to full business operations.
Engage with C-suite and senior client stakeholders to identify strategic AI opportunities, align them with business objectives, develop investment cases and define success metrics.
Define and embed AI-powered operating models, governance frameworks, organisational readiness plans (people, process, technology) and change management strategies to operationalise AI at scale.
Architect the solution mix, including generative AI/LLMs, retrieval-augmented workflows (RAG), agentic automation and advanced data architecture, ensuring alignment to business value and risk/privacy/ethical considerations.
Estimate cost models and business viability of AI/LLM usage patterns — including licensing, cloud/compute, fine-tuning and ongoing operationalisation — and drive decisions on technology sourcing, ecosystems and vendor partnerships.
Establish and manage delivery frameworks and reusable solution patterns and components for AI strategy and execution, enabling acceleration across clients and industries.
Lead cross-functional teams spanning strategy, design, architecture, engineering, data science, and delivery — including mentoring, resource planning, performance management and ensuring high-quality client outcomes.
Drive go-to-market efforts: contribute to proposal development, service offering definition, executive thought leadership and internal capability uplift.
Manage financial oversight of AI programmes: forecasting, budgeting, commercial tracking, risk mitigation, and value realisation metrics.
Ensure adherence to Responsible AI, security, data privacy, regulatory and ethical requirements in all AI strategy and delivery work.
