Linda helps executives move from intent to value on AI. Her starting point is rarely the technology: it’s the business priorities and the appropriate capabilities to drive what matters, and what it takes to capture them — the operating model, the workflows, the people. Over more than fifteen years at Nike, last as Global VP of Marketing Data, she built the data, AI, and MarTech foundation behind the brand’s marketing. She now brings that same clarity to companies trying to find their footing on AI.

Her work spans AI transformation strategy, GEO and agentic commerce, AI-native MarTech and personalization, and AI literacy. Her GEO practice runs from diagnostic audit through to a client-owned operating model. Linda started her career in BCG and Goldman Sachs, and holds an MBA from Columbia Business School.

Excels at: AI strategy and deployment, GEO and agentic commerce, AI-native MarTech and personalization, data monetisation, AI literacy and enablement.