Careers in Tech Data and Digital – where to start?
Fri 20 Sep 2024 11:00 AM - 11:45 AM BST
Online, Google Meet
Description
Getting into tech doesn’t have to mean learning how to code. There are a wide range of roles in data, digital and tech, and this session will showcase some of interesting, creative, and collaborative roles available.
We will discuss many of the myths and misconceptions that surround tech careers, and many different pathways into tech.
Christina Lovelock is the author of the new BCS book “Careers in Tech, Data and Digital: from education to employment”. Jamie will be interviewing Christina about the book, and taking questions from the audience.
Key takeaways:
- The range of career opportunities in tech, data and digital
- Who can work in tech (spoiler – pretty much everyone!)
- The truth about tech – addressing common myths and misconceptions
Your Hosts: Christina Lovelock and Jamie Toyne
Jamie is the founder and CEO of Herd Consulting, a specialist business analysis and product management consultancy & delivery partner. Prior to Herd, he established and led some of the largest business analyst practices in the country, having worked in digital and tech for over 15 years.
He is also an active member of the wider digital and BA community, regularly speaking at conferences & events, podcast guest, writing articles & blogs, and an occasional book reviewer for the BCS.
The best way to connect with Jamie is via LinkedIn: https://www.linkedin.com/in/jamietoyne
Christina has worked in the tech sector for over 20 years and is committed to the development of the future tech workforce. She has introduced entry-level roles into her organisations and chaired the development of a UK National Digital Apprenticeship standard.
She is a consultant, writer, speaker and qualified coach, and the Director of Community at Herd Consulting.
She would be delighted to connect: https://www.linkedin.com/in/christina-lovelock/
Who should attend: Anyone considering a career in tech who wants to find out more, AND everyone who has ruled out a career in tech based on assumptions and limited information.