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Opening up in June 2023, the Data Product Leadership Community offers a founding membership with the first year free. The focus is on leaders collaborating to advance human-centered data products through initiatives like live Zoom sessions and group interactions.
A noticeable shift is seen in organizations as data product teams and roles gain prominence over the past year. Companies are now emphasizing data product management, with teams embedded in core data analytics functions or specialties emerging in the form of dedicated product staff.
Organizations are increasingly embracing the concept of treating data as a product, fostering user-centric solutions. The rise of data product teams and roles signifies the evolving landscape where professionals are encouraged to bridge the gap between technical expertise and user engagement.
Data product teams play a crucial role in driving user adoption of data solutions within businesses. By adopting a product management approach, data teams enhance user experience, leading to increased efficiency and meaningful engagement with data-driven insights.
The ambiguity surrounding data product roles often leads to varied interpretations across organizations. Debates on the distinction between different job titles like 'data product' versus 'data as a product' highlight the ongoing evolution and contextual understanding required in this space.
Today I’m chatting with Kyle Winterbottom, who is the owner of Orbition Group and an advisor/recruiter for companies who are hiring top talent in the data industry. Kyle and I discuss whether the concept of data products has meaningful value to companies, or if it’s in a hype cycle of sorts. Kyle then shares his views on what sets the idea of data products apart from other trends, the well-paid opportunities he sees opening up for product leaders in the data industry, and why he feels being able to increase user adoption and quantify the business impact of your work is also relevant in a candidate’s ability to negotiate higher pay. Kyle and I also discuss the strange tendency for companies to mistakenly prioritize technical skills for these roles, the overall job market for data product leaders, average compensation numbers, and what companies can do to attract this talent.
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