Dan Power (Managing Director of Data Governance at State Street)On this episode of The Data Storytellers podcast, we explore the integration of data, technology, and human capital in the financial services sector with Dan Power, Managing Director of Data Governance at State Street. Dan shares insights into the critical role of data governance in navigating complex regulatory environments and enhancing strategic operations. We discuss his journey from the frontline of data solutions to leading governance initiatives, emphasizing the importance of cross-functional collaboration, and the ethical considerations necessary for developing AI and machine learning within one of the most dynamic units of the bank.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id149376647600:00 - Introduction to Dan Power and his role at State Street00:31 - Overview of Dan's journey and the significance of data governance01:49 - Dan’s passion for solving business problems with data solutions03:38 - The role of a 'data diplomat' in linking IT and business goals07:17 - How Dan's team operates as a buffer within the bank10:47 - Addressing data quality issues and interfacing between bank divisions12:21 - Initial challenges and strategic shifts in data governance16:38 - Achievements in transforming data operations and culture19:19 - Building trust and facilitating collaboration across the bank23:16 - Detailed explanation of the data governance process at State Street27:30 - Discussing the impacts of regulatory compliance on data strategy32:45 - Success stories from implementing robust data governance frameworks37:02 - The future of data governance and emerging technologies41:15 - The importance of training and development in data roles44:58 - Closing thoughts and advice for aspiring data professionals