In this blog series to commemorate National Mentoring Month, we are celebrating some of our incredible mentors in the Data Science for All program.
Earlier in my career, I worked at a global brand and innovation consulting firm crafting inspirational customer and employee experiences for Fortune 500 companies. I was on a career high -- I had personally received praise (and a hug) from Southwest’s founder after rebranding the airline, had stellar career reviews and I had also taken on my first mentee. While I was bringing immense value to my company (I measured and tracked every contribution), I had stopped receiving the same returns. It was clear that I was stagnant in my learning and had hit a glass ceiling. I knew I needed to leave my comfort zone--and it was one of the best decisions I’ve ever made.
I learned two things: 1) know your worth and your needs; calculate your net value to find your “walk away point”. 2) be willing to walk away at that point! I left for MIT to attend business school. Fast forward a few years after attending MIT and studying People Analytics, I now lead diversity strategy and operations for Google’s Go To Market team. At Google, I continue to measure my impact. Never be afraid to seek your next venture, even if it is within your current organization!
My mentors come from all backgrounds -- I even count my former Girl Scout Troop Leader as one! They all do share a commonality -- they are there for me even when it is only to tell me hard truths. Below are three truths that I live by:
I am continually awed by the power of mentorship. It’s truly by lifting each other up that we lift ourselves! I would not have attended an Ivy League school, worked in consulting or landed a job at Google had it not been for the many mentors and sponsors throughout my life. Mentorship can come from all places. Some of the best coaching I’ve received has been by those younger than me.
Google is a type of company that measures everything. To quote John Kaplan, Vice President of US sales and operations, “At Google, you really don’t walk into a meeting talking about your gut feel on something. You need to have the data to back it up. And so data is another key tenet of what’s made our decision making really successful.” The need for data analysis from simple to complex will only continue to grow in the coming years as more companies take a Google-like approach to both the customer and employee experience.
Change is messy, change is hard, but it is so worthwhile. I advocate for change on both the small (individual), medium (organizational), and large (systemic) scales. Below are some small and medium changes you can start to make: