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Katya Andresen, Chief Digital and Analytics Officer, The Cigna Group

Describe your career to date

My career has been nontraditional, spanning several industries and continents, but at the heart of it has been a consistently humble reckoning with the complexity of how people and technology come together in good ways and bad. I am thrilled to currently be part of Cigna’s mission to change health care for the better and improve the vitality of those we serve. It is such an important moment to harness data, advanced analytics, and digital innovation for the good of all.  

Prior to joining Cigna, I drove data-informed experience innovation in financial services as a Senior Vice President at Capital One, focusing on creating and delivering an integrated, end-to-end experience for customers across all touchpoints. 

Before joining Capital One, I served in executive roles for mission-focused technology companies, as CEO of the education technology company Cricket Media and COO and CSO of Network for Good, a payments platform and SaaS enterprise solution for digital giving and social actions that was founded by AOL, Yahoo! and Cisco, and I have served on several nonprofit boards.  

I guest lecture at Georgetown University’s business school and have served as an adjunct professor at the American University Key Executive Leadership Program.  

Earlier in my career, I was a foreign correspondent for Reuters News and Television in Asia and for Associated Press and major US newspapers in Africa. I remain an active writer as a Top Voice on LinkedIn, and you can also find my work on Medium.  

This has been a curvy career path for sure, but there is a simple throughline: everything starts and ends with understanding people and their needs – as a journalist, as a marketer, as a teacher, as a technology executive, and above all as a people leader. We can harness data and technology to deepen that understanding and act on that knowledge, but we must constantly ask ourselves if we’re solving the right problems in the right ways with the right outcomes. Something like generative AI (genAI) mostly likely will not kill us or save us, but how humans use it will determine how much help or harm we bring to the world. It is the people, not the technology, that proves to be the trickiest challenge – wherever you are and whatever you do. 

What role do you play in building and delivering conventional artificial intelligence solutions, including machine learning models? Are you also involved in your organization’s adoption of generative AI?  

My Digital and Analytics team harnesses data and advanced analytics – both conventional and genAI – to achieve the following: 

  • Improve productivity by making work better, faster, and cheaper. 

  • Improve health care by better predicting and guiding people to the next care they will need. 

  • Fundamentally re-imagine how health care is experienced.  

There are efficiency plays, effectiveness opportunities, and transformational possibilities, all at the same time. It is an exciting time to be doing all of the above because we are in golden age of neuroscience and behavioral science; we understand people and how to help them better than ever. We now have tools in advanced analytics that help us better predict what is coming and how to change future outcomes for the better.  

Then we have genAI, which among many other things allows us to make it far easier to interact with the health care system. On my team, we try to work on multiple time horizons in a highly iterative fashion since it is critical to test and learn our way into what is possible now and next – and what is the best next endeavor for our mission and company. 

How are you preparing your organization for AI adoption and change management? 

The most important focus is to help people understand the key is to define the most important problems to solve and then to think about how AI might play a role. Too often, people think adapting to change involves seizing technology and thinking of all the things you could do with it. You must ensure everything comes back to some value with the tool, not just the tool itself. Second is to experiment and learn, leading with questions not technology solutions. In health care, whoever learns fastest wins. 

Katya Andresen
has been included in:
  • 100 Brands 2023 (USA)
  • 100 Brands 2024 (USA)

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