Tomorrow's Tech Workforce: A high-level take on AI transformation - Franziska Roediger

Tomorrow's Tech Workforce is proudly sponsored by Peritus Partners - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Peritus Partners - Next Generation Recruitment⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ------------------------------------------------------------------------------------------------------------------------ This week on TTW, Franziska — Head of Data, Analytics & AI at Kleinanzeigen, one of Germany’s largest consumer marketplaces — joins us to unpack what AI really means for organisational transformation, workforce skills, and the future of product and tech teams. With a background in analytics and a career built around making data actionable at scale, Franziska brings a deeply human, highly operational perspective on how AI is changing not just technology, but people, roles, and the way organisations work. In this episode, we get under the hood of: 🔵 Why AI is not a technology project — it’s a transformation, and how the shift mirrors past industrial revolutions: new tools, new workflows, new roles, and new expectations for how teams collaborate. “It’s impacting every one of us within an organisation.” 🔵 The three pillars leaders must juggle: foundations, fast prototyping, and scaling, and why confidence in sequencing — not speed — is the real leadership skill in the AI era. 🔵 Why AI should sit inside product & tech, not in a centralised AI team, and how Kleinanzeigen uses “AI enablers” to upskill teams, remove fear, and help them build their own AI products rather than rely on a bottlenecked centre of excellence. 🔵 The power of functional champions, and why bottom‑up ambassador programs inside departments like marketing outperform broad, company‑wide AI initiatives. “People default to the old way because it feels faster — champions change that.” 🔵 Why outcome‑thinking matters more than ever, and how AI exposes organisational weaknesses that were already there — from unclear strategies to poor data foundations — by making them visible at speed. 🔵 The rising importance of deep functional expertise, and why humans must stay in the loop to challenge AI outputs, validate decisions, and ensure that automation doesn’t drift into “fluffy” or incorrect outcomes. 🔵 The real skills of an AI‑native workforce, from resilience and curiosity to problem‑thinking and domain mastery — and why tool training alone will never be enough in a world where the tech evolves weekly. 🔵 Why every role is changing, and how organisations must rethink expectations, responsibilities, and transitions across all functions — not just engineering or data. 🔵 How to handle resistance without dismissing it, and why fear of the unknown is valid, important, and often a signal of what customers will feel too. “Often they have valid points.” 🔵 Why data maturity is the silent prerequisite for AI, and how poor data quality can actively harm customers when paired with powerful AI systems that make interpretation easier — and riskier — than ever. Franziska brings a grounded, empathetic, and deeply practical view of AI transformation — one that centres people, skills, and organisational design just as much as technology. Her perspective is a must‑listen for leaders navigating AI adoption, workforce change, and the messy reality of building AI‑ready organisations. A must‑listen for anyone leading data, product, or tech teams, driving AI transformation, or trying to understand what “AI‑ready” truly means beyond tools and training. Feel free to find Franziska here:   / franziska-roediger-ab554134   ------------------------------------------------------------------------------------------------------------------------ If you find this topic interesting or have an idea about a future topic in which either you would like to speak yourself or would like us to cover, please reach out to the host, Jodi here - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   / jodi-barrow-aa0b6a115   Thank you for supporting our project, if you liked what you heard then we would appreciate if you could drop us a review or rating! #podcast #recruitment #ttw #workforce #talent #hiring #techrecruiting