Adam Golz

SR VP Client Services

Adam has spent his career helping organizations create stronger and more meaningful integrations between analytics and business process – driving measurable impact. The Chicago native is constantly pushing for deeper insights and actionable intelligence for our customers.

He’s a proud father, an avid golfer, and loved to travel before COVID-19 – and hopes to love it again after.

Have you ever met anyone famous?

A few times - through caddying and business travel. Most recently I had dinner next to Frank Thomas at Logan International, where he taught me the right way to order a lobster roll... he ordered two.

If you can eat one food that didn't count calories, what would it be?

French fries

If you could pick up a new skill in an instant what would it be?

To speak Mandarin, the most spoken language in the world.

Seen any good movies/shows lately you’d recommend?

I'm really into crime thrillers and would have to recommend Mindhunter to anyone interested in the genre.

Favorite guilty pleasure

Craft beers... they're a meal worth of calories, expensive, and overly alcoholic; but, I love trying as many as I can.

What’s one thing that surprised you about working at Foresight ROI?

The number of people who know how to play euchre defies my previous understanding of the popularity of the game.

Been pleasantly surprised by anything lately?

I'm a new dad and I'm NOT exhausted.

What’s the best advice you’ve ever heard?

"You have to drive like everyone around you is trying to kill you, protect yourself. Or, maybe consider taking the train?"

Who had the most influence on you growing up?

Stereo-typically it was my father. He taught me a lot about life and taught me how to play golf. We still play just about every weekend, even if that means going indoors for the winter.

Who’s someone you really admire?

Elon Musk - as an innovator more so than a CEO. It isn't that Musk takes on problems nobody has postulated how to solve, it's that he takes on these problems in a way to promote scale of problem-solving that hadn't previously been attempted because the problem was too big or the payoff too small.