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Interview with Tiffany Perkins-Munn

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Manage episode 400056315 series 1997536
Content provided by Secrets of Data & Analytics Leaders and Eckerson Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Secrets of Data & Analytics Leaders and Eckerson Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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: 1. Tiffany’s secret for aligning a large data & analytics team and keep them from splitting into silos of specialization 2. Her favorite techniques for recruiting the right people to her team. 3. How to wade through the thicket of legacy systems and deliver innovative solutions quickly. 4. The impact of GenAI on her operations and the financial services industry. 5. How to advance your careers in data & analytics.
  continue reading

261 episodes

Artwork
iconShare
 
Manage episode 400056315 series 1997536
Content provided by Secrets of Data & Analytics Leaders and Eckerson Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Secrets of Data & Analytics Leaders and Eckerson Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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: 1. Tiffany’s secret for aligning a large data & analytics team and keep them from splitting into silos of specialization 2. Her favorite techniques for recruiting the right people to her team. 3. How to wade through the thicket of legacy systems and deliver innovative solutions quickly. 4. The impact of GenAI on her operations and the financial services industry. 5. How to advance your careers in data & analytics.
  continue reading

261 episodes

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