There Is No Single Path in Data: Three Dimensions of a Durable Data Career (an Ensemble Approach)
Product Manager of Data, Analytics, & AI
Amerisure
Chris is a data professional of nearly 20 years with a specialty in data and AI strategy. He has spent many years leading data and AI projects across many industries as a Product Manager and Data & AI Consultant. He holds a master's degree in data science from Indiana University and an Executive MBA from Michigan State University. His career has been built on the people-side of data and bridging the gap between the business and technical domains. Chris lives in the Greater Lansing area with his family and is an avid disc golfer, hockey fan, and author.
Connect with Chris on LinkedIn here: https://www.linkedin.com/in/chrisbawden/
The data profession has evolved dramatically over the past two decades. New technologies, changing organizational expectations, and the rise of AI have created more opportunities than ever but also more uncertainty for professionals trying to build long-term careers.
In this session, Chris shares lessons learned from nearly 20 years working across analytics, data science, AI, governance, and product leadership roles. Drawing from experiences spanning startups, small companies, enterprise organizations, and consulting, this talk introduces a practical framework for building a durable and adaptable career in data.
The session explores the three dimensions that consistently shape long-term success in the field:
Technical Capability: developing adaptable skills across analytics, engineering, AI, and product thinking
Domain Understanding: building deep knowledge of industries, business models, and organizational challenges
Relationship Capital: investing in professional networks, collaboration, mentorship, and community involvement
Along the way, attendees will hear practical career lessons, examples from professionals across different data disciplines, and perspectives on topics including advanced degrees, specialization versus breadth, transitioning into leadership, and navigating the rapidly evolving AI landscape.
Attendees will leave with a clearer understanding of how to intentionally grow a resilient and fulfilling career in modern data organizations.