Data Stewardship and Data Product Management

The podcast hosts discuss the evolving roles of data stewardship and data product management in the context of data governance. They question the traditional view of governance centered around defensive data stewardship and propose a shift towards a more value-focused approach. They suggest that data stewards could upskill and become data product managers, combining their understanding of data with a focus on building valuable data products. They also highlight the importance of reframing governance and stewardship for greater excitement and engagement. The hosts emphasize the need for a paradigm shift and emphasize the three key aspects of successful data governance: making money, saving money, and mitigating risk. They discuss the impact of AI on these roles, highlighting how AI technologies can automate manual tasks such as creating data dictionaries and detecting personally identifiable information (PII). They emphasize the need for organizations to leverage AI technologies to enhance productivity and efficiency in data stewardship and governance. The hosts also discuss the shifting ratio between IT and the business due to the automation and scalability provided by AI. They stress the importance of incorporating AI into the data ecosystem to streamline processes and ensure compliance with evolving regulations. The discussion concludes by highlighting the changing landscape of data governance and stewardship, advocating for a shared responsibility model and AI-driven automation to effectively manage data products and ensure compliance with privacy regulations.