The Data And AI Podcast

Harnham & Rockborne

This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in data and analytics. See more on our website: https://www.harnham.com/data-and-ai-podcast/ read less
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Episodes

Episode 4 - Key Findings from Harnham’s 2023 US Data & AI Salary Guide
16-08-2023
Episode 4 - Key Findings from Harnham’s 2023 US Data & AI Salary Guide
Harnhams McElla Pappas Weber, Sam Jones and Kyle Anzalone get together to discuss the key findings of the 2023 US Salary Guide. They discuss everything from the top reasons data professionals leave a role, to remote working, and of course the hot topic of AI as well as much more. 00:00-03:40   Intro. 03:40- 12:00 Job security in the data industry. 12:00- 19:45 Does company culture matter more than compensation for candidates leaving their current role?/What are the main reasons people leave? 19:45 – 20:33 Are you seeing hiring trends for hiring chief ML/AI management positions? 20:33-22:07 Who’s seeking jobs right now, are middle management positions or entry/senior level positions more sought out? 22:07- 24:28 Do you think hybrid/remote work models are here to stay long term? 24:28-27:06 With the rise of AI/ML are there fewer core analytics roles? 27:06-28:42 How has the current recession impacted the data industry? 28:42- 33:27 What’s driving movement and attracting talent in the marketplace? 33:27-35:57 Is equity not a prime factor? 35:57 41:30 AI 41:30- 45:15 Top 5 technologies used by data professionals. 45:15- 47:47 Do you think diversity of tools used in the data industry is a challenge for job seekers? 47:47-49:32 Within data and tech, are you seeing a trend of employees needing to do ‘everything’ (data architecture, data engineering etc.)? 49:32-53:10 What skills should be considered for a candidate ‘upskilling’ themselves? 53:10-54:32 How do you differentiate the requirement in learning Excel and PowerBI? Which one is more powerful? 54:32- 56:41 Wrapping up.