It's not easy being the head of data & analytics at a large organization. You must align a large team across multiple disciplines; you must deal with oodles of legacy systems and tools that hamper innovation; and you must deliver business value fast to keep executives at bay and your job intact. You also need to recruit dynamic managers who can push the envelope while meeting operational objectives. And when you falter--which you inevitably will-you have to rebound fast.
No one knows these lessons better than Tiffany Perkins-Munn. She currently runs a 275-person data & analytics team at JP Morgan Chase that consists of data engineers, data scientists, behavioral economists, and business intelligence experts. She thrives on versatility, having earned a Ph.D. in Social-Personality Psychology with an interdisciplinary focus on Advanced Quantitative Methods. Building on this foundation, she has accumulated vast experience in the art of managing data & analytics teams during her 23 years in technical and managerial roles in the financial services industry.
In this interview, you’ll learn:
- Tiffany’s secret for aligning a large data & analytics team and keep them from splitting into silos of specialization
- Her favorite techniques for recruiting the right people to her team.
- How to wade through the thicket of legacy systems and deliver innovative solutions quickly.
- The impact of GenAI on her operations and the financial services industry.
- How to advance your careers in data & analytics.
