DataFramed #84 Building High-Impact Data Teams at Capital One
May 2, 2022
Dan Kellet, Chief Data Officer at Capital One UK, brings a wealth of expertise in mathematics and statistics to the discussion. He shares insights on building high-impact data teams by emphasizing the need for diverse skill sets and robust mentorship. Kellet underscores the importance of user experience in data product development and navigates the unique challenges of leading data initiatives within the highly regulated financial sector. He also highlights the significance of creating a data-driven culture and the ethical considerations surrounding AI governance.
AI Snips
Chapters
Transcript
Episode notes
High-Impact Data Teams
- Build data teams with diverse skills and experiences.
- Focus on consumer needs, technical excellence, and strong teamwork/communication.
Teamwork over Unicorns
- Data teams need diverse skill sets, not unicorn data scientists.
- Skills are distributed across the team: analysts explain past trends, scientists predict future trends, stewards ensure data quality, and engineers build platforms.
Upskilling from Operations
- Capital One upskills employees from operations into data roles.
- This provides valuable insights into customer experience and operational challenges.