Season 6 - Episode 2 - “Why data and AI teams need translators not just tools” with Clare Kitching

Why Data Teams Need Translators, Not Just ToolsIn this episode of Lead With Data, Rina Gami sits down with Clare Kitching, a senior data leader who works closely with organisations navigating complex data and AI decisions. The conversation explores why many data and AI initiatives stall and not because of tooling gaps.The conversation unpacks how data teams are navigating generative AI, agentic AI and increasing pressure to move quickly, often without the shared language, context and alignment required to succeed. Clare shares what she is seeing first-hand across organisations grappling with executive expectations, shadow AI, governance concerns and the widening distance between technical teams and business leaders.This episode focuses on the growing importance of translators in data teams' people who can bridge strategy, technology and value and what leaders should be paying attention to before scaling AI.In this episode, we cover:Why tools alone do not solve AI and data challengesThe shift from traditional data initiatives to generative AI and agentic-based AIThe critical role of senior executive sponsorship in AI successHow translators help close the gap between technical teams and the businessPractical ways organisations can start or scale AI responsiblyEvolving roles in data teams, including analytics translators and AI governance specialistsCommon challenges such as shadow AI, data quality and organisational buy-inIndicators that signal true readiness to scale AIWhy value-led AI initiatives matter more than experimentationTimestamps00:00 – AI as a high-return capability in modern data teams01:32 – Claire’s career journey and move into consulting03:16 – What has changed in data and AI over the last five years04:00 – Where organisations are really at in their AI journeys05:24 – Pressure to move quickly and what gets missed06:03 – Executive sponsorship and its impact on outcomes07:30 – Data team structures and emerging gaps08:53 – Organisational barriers to AI adoption10:38 – Shadow AI and responsible use12:34 – Initial assessment points when working with organisations14:47 – Asking the right questions to align AI to value17:11 – Why communication is now a core data capability19:09 – Telling the data story in a way the business understands22:18 – Structuring data teams for sustainable AI outcomes25:26 – Evolving roles across data, engineering and governance28:11 – Everyday AI, generative AI and agent AI explained32:21 – Leadership priorities when advancing AI initiatives33:49 – Signs an organisation is ready to scale AI responsibly35:11 – Maintaining momentum without creating risk36:08 – Hiring for AI capability beyond technical skills38:25 – When and why to involve external expertise41:17 – The value of an external perspective44:48 – Avoiding stagnation in AI programs45:27 – Communication and storytelling as critical capabilities46:16 – Leadership alignment and organisational readiness46:44 – Final reflections and next stepsResources & LinksExperian Data Studio – supporting stronger data governance and trustClaire Kitching Linkedin Website - cambiq.com.au