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

Analytics on Fire

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!

• [26:51] - The role of executives in data management​
• [29:54] - Heather on Data Literacy: “Often very smart people including executives, become dumb in the face of data.”​
• [45:48] - Whether the team that built the successful model should own the model​
• For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/64

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