

#128 Unlocking Scalable ROI for Data Teams
8 snips Feb 27, 2023
Shane Murray, Field CTO at Monte Carlo and former data analytics leader at The New York Times, shares insights on transforming data teams into revenue-driven powerhouses. He emphasizes the necessity for a mature data culture and effective structuring to maximize ROI. The discussion touches on breaking down silos, fostering trust through quality data management, and the importance of self-service analytics. Shane also highlights future trends in data quality, including innovations in observability tools that empower teams and enhance decision-making.
AI Snips
Chapters
Transcript
Episode notes
Career Journey
- Shane Murray started his career in Sydney as a statistician, building an early multivariate experimentation platform.
- At the New York Times, he grew the data analytics team from 12 to 150, managing core data products.
High-ROI Data Team
- Focus on timely, persuasive decision support through experiments and modeling.
- Build an efficient and extensible data platform, anticipating future business needs.
Team Structure
- Avoid over-decentralizing data scientists too early; start with a strong centralized team and platform.
- Embed data scientists when the platform is mature, the team has a strong bench, and the business domain has distinct objectives.