Welcome to Episode 37 of the Talent Intelligence Collective podcast! In this data-driven episode, Alan Walker and Toby Culshaw from Lightcast (with Alison taking a well-earned break) delve into the world of talent analytics with Steve Kerwin, who leads the data and analytics organisation for Amazon's Stores Talent Acquisition team.

The news roundup kicks off with a critical examination of Trump's manufacturing revival plans against the sobering reality of skills shortages across the US, with Deloitte projecting 1.9 million unfilled manufacturing jobs by 2033. The conversation shifts to Shopify's CEO's controversial policy of refusing to approve new headcount unless teams can demonstrate why AI can't perform the work, sparking a thoughtful discussion about the practical limitations of AI implementation. The segment concludes with a cautionary tale of an AI shopping app founder charged with defrauding investors after allegedly using human contractors in the Philippines instead of the advertised AI technology.

Steve shares his eight-year journey building Amazon's talent acquisition analytics capabilities from the ground up, offering candid insights into scaling data solutions to thousands of users across one of the world's largest employers. He emphasises the critical importance of candidate experience data and how qualitative feedback, when properly captured and analysed, can transform hiring success at scale.

The discussion explores the unique challenges of leading a diverse team of BI engineers, software developers, and data engineers, with Steve advocating for a servant leadership approach that empowers team members to grow their skills and tackle increasingly complex problems. He provides a refreshingly honest assessment of the persistent disconnect between talent acquisition, HR, and finance when it comes to operational forecasting and demand planning, highlighting the need for better integration across these traditionally siloed functions.

For organisations just beginning to build their analytics capabilities, Steve offers practical advice, emphasising the importance of establishing solid foundational data structures before attempting more sophisticated analyses. He compares building analytics capabilities to constructing a house: "I can't build you bay windows and roofs if I don't have the basement laid."

Until next time, stay curious, stay analytical, and most importantly, stay intelligent!

As ever - big thanks to our sponsors: https://lightcast.io

Welcome to Episode 36 of the Talent Intelligence Collective podcast! In this special "insider" episode, Alan Walker and Alison Ettridge turn the spotlight on their co-host Toby Culshaw, who has recently made the leap from Amazon to Lightcast and shares the story behind this exciting career move.

The episode begins with a thought-provoking discussion about data discrepancies across LinkedIn platforms, exploring the challenges of balancing directional accuracy with precise data in talent intelligence. The conversation delves into how perception, gut feeling, and objective data all play crucial roles in strategic decision-making, with Toby sharing revealing examples from his career where leadership perceptions didn't match market realities.

McKinsey's recent paper on strategic workforce planning in the age of AI sparks an examination of how organisations achieving excellence in talent management generate substantially more revenue per employee. The team discusses the critical relationship between operational planning and long-term strategy, particularly as AI continues to reshape workforce dynamics at an unprecedented pace.

The heart of the episode features Toby recounting his fascinating career journey from financial recruitment to pioneering talent intelligence. He shares candid insights about his early days using "the big red book" of chartered accountants, his time in Australia staffing entire call centres, and his pivotal moments at Thales where he first discovered how data could influence strategic business decisions rather than just support tactical recruitment.

Toby offers a compelling vision for the future of talent acquisition, predicting a significant shift toward hiring manager self-service for routine roles while reserving specialised recruitment expertise for business-critical positions. He explains his decision to move to Lightcast as driven by the opportunity to influence the talent intelligence field more broadly and help more organisations build effective TI functions.

The episode concludes with reassurance for listeners that while Toby's career is changing, the podcast remains committed to its independent voice and community-focused mission—with exciting possibilities ahead for expanding its reach and impact.

Until next time, stay intelligent!

This podcast is proudly sponsored by Lightcast

Welcome to Episode 35 of the Talent Intelligence Collective podcast! Alan Walker, Alison Ettridge, and Toby Culshaw sit down with Chris Woodward, whose fascinating journey from military leadership to strategic workforce planning offers a masterclass in talent strategy and organisational effectiveness.

This month's intelligence roundup features Toby exploring whether AI agents can truly become trusted advisors in talent intelligence, sparking a thought-provoking discussion about the balance between automation and human judgement. The conversation shifts to the UK's ambitious AI skills strategy, contrasting it with the Gulf region's more pragmatic approach to talent development, highlighting the critical importance of long-term thinking versus short-term political cycles.

Chris shares his remarkable career trajectory from the British Army, where he served four tours in Afghanistan, to his role as Global Head of Strategic Workforce Planning at Babcock. He offers valuable insights into how military concepts like "battle grouping" – bringing together diverse capabilities towards clear outcomes – can transform talent strategy in the corporate world. His experience reimagining talent pathways in the military and later applying competency science at Korn Ferry reveals the power of objective, future-focused talent management.

The discussion delves into the challenges of demand-side workforce planning, with Chris highlighting how organisations often struggle with long-term capability building when faced with immediate business pressures. His work on criticality assessments for submarine servicing exposed stark talent shortages, necessitating innovative approaches to capability development with multi-year horizons.

As Chris embarks on his next chapter establishing an advisory practice focused on organisational effectiveness, he shares three essential tips for strategic workforce planning professionals: get strategic clarity, build relationships across the business, and truly understand how the business creates value. His perspective on HR functions becoming truly strategic partners rather than cost centres offers a compelling vision for the future of talent management.

Until next time, stay curious, stay strategic, and most importantly, stay intelligent!