How they have pivoted, enhanced and grown their careers in the data and tech world.
Datadition - a data and tech careers podcast
Claim This Podcastby May Olatoye
17 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
How they have pivoted, enhanced and grown their careers in the data and tech world.
Language
🇺🇲
Publishing Since
8/7/2020
Reach the team behind Datadition - a data and tech careers podcast
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes
January 1, 2023
Selling Tech To Tech (IBM)
My guest today started her career in sales and marketing where she quickly became an accomplished seller, tripling quotas and breaking sales targets across media and agribusiness sectors. Ever keen to break into the world of tech, she eventually landed her first opportunity at Microsoft on the Azure cloud strategy and digital acquisition group. She of course continued to break records till she recently had the opportunity to focus her tech interests in automation and AI & Ops at IBM...
October 19, 2022
A Fashion Journalist's Runway To Tech (Adobe)
We are joined today by Omenaa Boakye who started her career working as a stylist for sets like CBS to home and lifestyle extraordinaire Martha Stewart and a host of renowned brands including Amazon, Saks, Macy’s and L’Oreal to name a few. The fashion polymath that she is, she has also worked as a fashion journalist writing for publications like InStyle to The Times in the UK. She has always been fascinated by the intersection of digital and tech with the world of fashion. She takes us on her ...
September 26, 2022
From Geology To Commodities Tech (S&P Global)
Peace started her academic journey in geology and geosciences going on to later complete an advanced degree in the field at the Texas A&M university. Her work experiences had hovered around the oil and gas sector working as an upstream analyst for BP to investment banking as a financial analyst for Goldman Sachs. Today, she has found herself at the intersection of a data rich environment that has leveraged all of these experiences and her domain knowledge masterfully. Working as a technic...
17 total episodes available
Deep-dive analytics for Datadition - a data and tech careers podcast
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Datadition - a data and tech careers podcast?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.