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Bridging the gap between data teams and business priorities is essential for maximizing impact and building value-driven workflows. Katie Bauer, Senior Director of Data at GlossGenius, joins us to share her principles for creating effective, aligned data teams. In this episode, Katie draws from her experience at GlossGenius, Reddit and Twitter to highlight the common pitfalls data teams face and how to overcome them. She offers practical strategies for aligning team efforts with organizational goals and fostering collaboration with stakeholders.
Key Takeaways:
(02:36) GlossGenius provides an all-in-one platform for beauty professionals.
(03:59) Airflow orchestrates data and MLOps workflows at GlossGenius.
(04:41) Focusing on value helps data teams achieve greater impact.
(06:23) Aligning team priorities with company goals minimizes friction.
(08:44) Building strong stakeholder relationships requires curiosity.
(12:46) Treating roles as flexible fosters team innovation.
(13:21) Adapting to new technologies improves effectiveness.
(18:28) Acting like your time is valuable earns respect.
(23:38) Proactive data initiatives drive strategic value.
(24:20) Usage data offers critical insights into tool effectiveness.
Resources Mentioned:
Katie Bauer -
https://www.linkedin.com/in/mkatiebauer/
GlossGenius -
https://www.linkedin.com/company/glossgenius/
Apache Airflow -
https://airflow.apache.org/
DBT -
https://www.getdbt.com/
Cosmos -
https://cosmos.apache.org/
Apache Airflow Survey -
https://astronomer.typeform.com/airflowsurvey24
Thanks for listening to “The Data Flowcast: Mastering Airflow for Data Engineering & AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.
#AI #Automation #Airflow #MachineLearning
By Astronomer5
2020 ratings
Bridging the gap between data teams and business priorities is essential for maximizing impact and building value-driven workflows. Katie Bauer, Senior Director of Data at GlossGenius, joins us to share her principles for creating effective, aligned data teams. In this episode, Katie draws from her experience at GlossGenius, Reddit and Twitter to highlight the common pitfalls data teams face and how to overcome them. She offers practical strategies for aligning team efforts with organizational goals and fostering collaboration with stakeholders.
Key Takeaways:
(02:36) GlossGenius provides an all-in-one platform for beauty professionals.
(03:59) Airflow orchestrates data and MLOps workflows at GlossGenius.
(04:41) Focusing on value helps data teams achieve greater impact.
(06:23) Aligning team priorities with company goals minimizes friction.
(08:44) Building strong stakeholder relationships requires curiosity.
(12:46) Treating roles as flexible fosters team innovation.
(13:21) Adapting to new technologies improves effectiveness.
(18:28) Acting like your time is valuable earns respect.
(23:38) Proactive data initiatives drive strategic value.
(24:20) Usage data offers critical insights into tool effectiveness.
Resources Mentioned:
Katie Bauer -
https://www.linkedin.com/in/mkatiebauer/
GlossGenius -
https://www.linkedin.com/company/glossgenius/
Apache Airflow -
https://airflow.apache.org/
DBT -
https://www.getdbt.com/
Cosmos -
https://cosmos.apache.org/
Apache Airflow Survey -
https://astronomer.typeform.com/airflowsurvey24
Thanks for listening to “The Data Flowcast: Mastering Airflow for Data Engineering & AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.
#AI #Automation #Airflow #MachineLearning

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