Damion spent the last 15 years applying data and technology to entertainment. Both analytical and creative, he brings a unique skill set that’s in high demand for brands and media companies. He effectively translates data in a way that is meaningful to creatives talent and has become a respected leader in audience growth and producing data-informed creative. He has lead Audience Development for large traditional media companies (e.g., Warner Bros. and NBC Universal) as well as innovative digital leaders (e.g., Machinima, Mitu and New Form).

SHOW NOTES

  • Where are you calling from?
  • What project has your attention right now?
  • How did you get your start?
  • How does your lifestyle now differ from the lifestyle you grew up in?
  • Did you have a “back-up” plan?
  • What’s been your biggest risk so far?
  • What should people interested in your career do?
  • What is the most common mistake digital creators make?
  • What are some unexpected rewards you’ve gotten from your career?
  • Have you “made it”?
  • Who did you see that inspired you? See it to be it. 
  • Do you have any recommendations for listeners?
  • How should listeners connect with you?

KEY QUOTES

  • “Data science is all about storytelling.”
  • “If you don’t know who you’re making stuff for, then you can’t [make it].”
  • “For people who want to create as a business–a means to make a living–you have to consider it as a business. It can’t be all creative all the time.”
  • “Who’s your audience? Where’s the first place that they might come across whatever it is you’re making?” 
  • “So much of creativity is bringing in a piece of yourself.” 
  • “Yes I am a creative–but I’m also an analytical scientist.” 
  • “You don’t necessarily get everything you want without putting in the work… when you want to master something, sometimes you get too far down the mastery path and you want it to be perfect–when sometimes you need to just let it go and let it be good enough so you can improve and if you don’t let it go and make that next mistake, you won’t learn something that will make you better.”
  • “If you can visualize yourself doing it, it becomes a lot easier for you to actually do it.”

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