Catalog & Cocktails: The Honest, No-BS Data Podcast Who is doing the Data Product Management work? with Anna Bergevin
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Aug 22, 2024 
Anna Bergevin, a Sr. Product Manager at ResMed, shares her honest insights into data product management and the evolving role it plays today. She delves into her journey transitioning from an analyst to a product manager, highlighting the challenges and the necessity for collaboration. The conversation uncovers innovative uses of AI, like ChatGPT, for productivity and storytelling. Anna emphasizes understanding user needs and effective communication as key to navigating the complexities of developing data products.
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Distributed Teams and Invisible Products
- Data product management involves working with distributed teams and multiple engineering managers across time zones.
- Ideas can originate anywhere, and many data products focus on invisible experiences, not just user interfaces.
Agility Limits in Data Products
- Data product development can’t always follow agile due to scale and legacy systems.
- Projects often face unpredictable challenges and require a mix of planning, protection of bandwidth, and stakeholder management.
Enterprise Data PM Realities
- Enterprise data product management in complex industries like healthcare faces slow, painful, and cross-functional challenges.
- Despite difficulties, impact and satisfaction come from enabling meaningful improvements at scale globally.
