Senior Vice President, AI Strategy Lead

This role is located in London.

About the Role

In this role, you’ll make an impact in the following ways:

• Lead complex AI strategy workstreams and translate enterprise priorities into strategic themes, investment choices, operating-model recommendations, roadmaps, and executable plans.
• Shape AI Hub’s strategic agenda across AI-native platforms, digital employees, workflow automation, knowledge management, process reimagination, governed AI capabilities, and continuous intelligence.
• Identify, assess, and prioritize AI opportunities based on business value, client impact, operational efficiency, strategic alignment, technical feasibility, control readiness, adoption potential, and implementation complexity.
• Develop business cases, value hypotheses, cost-benefit analyses, KPI frameworks, adoption measures, and benefit-realization plans for priority initiatives.
• Define how AI capabilities can help platforms become more intelligent, context-aware, governed, reusable, and scalable across enterprise workflows.
• Advance continuous-intelligence priorities by connecting trusted data, governed AI, human judgment, operational context, and enterprise controls to practical business outcomes.
• Develop recommendations for AI operating models, prioritization mechanisms, portfolio governance, investment sequencing, adoption strategies, and cross-functional accountability.
• Produce executive-ready strategy narratives, decision papers, presentations, portfolio updates, and recommendations that simplify complex AI topics without overstating maturity or expected benefits.
• Partner with Product, Engineering, Data, Operations, Finance, Risk, Governance, Legal, Compliance, Audit, and business teams to align strategy with execution feasibility and enterprise standards.
• Ensure strategic recommendations address data readiness, responsible AI, model and technology risk, cybersecurity, privacy, resiliency, human oversight, regulatory considerations, and change management.
• Track emerging developments across GenAI, agentic workflows, enterprise AI platforms, automation, data products, model providers, and market practices to inform strategic choices.
• Establish portfolio transparency by defining consistent measures for initiative status, strategic alignment, adoption, value, dependencies, control readiness, and delivery progress.
• Lead senior-stakeholder discussions, frame decision options, clarify tradeoffs, and drive alignment on priorities and recommended actions.
• Build durable internal AI strategy capability by creating reusable strategic frameworks, analysis methods, decision templates, and value-measurement approaches.
• Operate independently as a senior individual contributor, bringing structured judgment and executive-quality output to high-priority and often ambiguous enterprise initiatives.