Field notes from the rooms where enterprise AI gets decidedNext room: Singapore & New York · 13 Nov 2026
The CIO Room
Alice Huang, Director of Revenue Operations and Data Science at Go Health
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Go HealthHealthcare & Life Sciences

Attendee

Alice Huang

Director of Revenue Operations and Data Science at Go Health

1Rooms joined
0Sessions on stage
0Awards
LinkedIn

On their agenda

Five priorities, mapped against profiled leaders

01

Huang prioritizes driving organizational data fluency

03

And executing digital transformation initiatives. Her operational priorities include developing causal inference and recommendation models

Digital transformation
04

Enhancing LTV and cross-sell/upsell strategies

05

And scaling high-performing data science and analytics teams across healthcare and InsurTech operations.

Talent & culture
Source: 734 The CIO Room leader profiles with at least one priority theme, from 742 leaders in the series. Share of those leaders in each theme; leaders may have multiple themes. Yellow marks Alice's saved themes.

In the room

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Working on now

As Director of Revenue Operations and Data Science at GoHealth, Alice Huang leads cross-functional teams productionizing machine learning and predictive analytics models

About

<p><a href="https://www.linkedin.com/in/aliceshuang/" rel="noopener noreferrer" target="_blank">Alice Huang</a> is the Director of Revenue Operations &amp; Data Science at GoHealth, based in Chicago, Illinois. With over 12 years of experience as a data science leader, she specializes in developing, deploying, and evaluating predictive models to solve complex operational and commercial challenges across healthcare, insurance, and fintech sectors.</p><p>Alice's domain expertise spans healthcare analytics—including value-based care and population health—customer analytics, causal inference, dynamic pricing, and data strategy. A data science thought leader with published work and speaking engagements, she combines technical acumen in modern cloud platforms with change management skills to build organizational data fluency and turn analytics into measurable business value.</p>

Summarised from public LinkedIn activity ·

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