Renata Bindo

Most organisations aspire to be “data-driven,” but few translate that ambition into measurable business outcomes. At Haleon, a global consumer health leader, we built a Data & AI strategy designed to scale across functions and markets while addressing legacy systems, governance complexity and fast-moving GenAI expectations. This session shares the practical playbook behind that journey. We started with value, not technology: mapping priority value pools, identifying the highest-impact use cases, and building the investment case to align leaders on where Data & AI could shift performance and create competitive advantage. Those use cases then shaped the data foundations, data management, governance, operating model, talent and capability-building needed to execute at pace. The talk shares what works in a complex global organisation: overcoming inertia and silos, securing leadership sponsorship, building trust in data, and driving adoption through capability building. It also explores how Haleon is preparing for Agentic AI, where multimodal models, automation and new ways of working will reshape consumer health. Attendees will leave with a pragmatic framework for building a Data & AI strategy that delivers real value—whether starting out or scaling further.