AoF 64: The Role of Exec & Expectation Mngt in Data Science w/ Heather Smith

S5_Podcast Artwork Template (2020)_Heather_Smith
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Many companies want to use data to gain a competitive edge in their industries–this can pose a challenge for organizations whose core business is not inherently technical. To make things worst lots of providers and consulting firms push unproven strategies and technical solutions that don’t work. My guest today, Heather Smith is a data leader who has over 15 years of experience in the data science field, including recognition as one of Seattle’s Top 5% of Women Engineers by Women Impact Tech.

As co-founder of Rove Technologies, Heather teaches how to set realistic expectations, when it comes to senior management and why it’s so important. She shares real-world examples of where expectations were set, and unfortunately when they were not. In a more personal tone, she discusses how her female appearance has impacted her professionally. Listen in to hear Heather talk about the role of executive expectation management in data science and how you can start managing expectations correctly!

“No one person’s technical skill is going to make up that gap in technology performance and tool deficits.” [36:13]

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3 Knowledge Bombs

In this episode, you'll learn:

“A lot of the things that have made me successful in delivering data science and machine learning projects was [my] project management acumen.” [42:00]

Links and Resources mentioned in this episode:

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Mico Yuk

Mico Yuk

As the Co-founder and CEO of BI Brainz, I've been in the Business Intelligence/Analytics industry since 2009. Trained 10K+ using our methodologies and frameworks! I love our amazing team and community! I share my passion for data to 20,000+ followers via the Analytics on Fire Podcast, our BI Brainz academy, blog, social media, global keynotes, training, and workshops. Our model is simple. We take what is successful for our customers and teach it! I'm a bonafide beach bum on days off!
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