Lan Guan — CEO

Dr. Lan Guan is the Chief AI Officer at Accenture, where she partners with C-suite leaders across industries to design and implement data and AI strategies that drive growth in the era of Generative AI. She also leads Accenture’s Center for Advanced AI - the epicenter that enables enterprises to capture and create value from their AI investment by leveraging deep AI experts, differentiated scalable assets and solutions underpinned by data prowess and industry knowledge, and market-leading thought leadership and research. With more than two decades at Accenture, Lan has built a globally respected career in consulting and technology innovation. Her work spans artificial intelligence, machine learning, data strategy, cognitive science, cloud architecture, and robotics. She is a member of Accenture’s Global Management Committee, guiding the firm’s innovation agenda and business strategy. Previously, Lan served as the global lead for Accenture’s Data & AI practice within Technology, where she played a pivotal role in transforming cloud-driven data into enterprise-scale solutions. Lan is a founding member of the Stanford Institute for Human-Centered AI (HAI) and established the Accenture Stanford Foundation Model Scholar Program. She also serves on the advisory board of AI4All, a nonprofit promoting diversity and inclusion in AI education and leadership. A recognized industry thought leader, Lan has received numerous honors, including: • CNBC Changemaker (2025) • Top 25 Consultants and Leaders in AI (2024) • Top 50 Asian Americans in Business (2023) • Top Women Leaders in Consulting (2022) • STEM Champion for Women (2020) Lan holds a Doctorate degree from the City University of New York, a PhD (ABD) in Quantitative Econometrics from Wayne State University, and an MBA in Computational Engineering from the University of Michigan, Ann Arbor. She holds over 30 patents in AI-related fields and serves as Adjunct Faculty at Columbia University’s Data Science Institute.

Stackforce AI infers this person is a leader in AI-driven consulting and technology innovation.

Experience: 25 yrs 5 mos

Skills

Artificial Intelligence (ai)
Data Strategy
Business Strategy
Predictive Modeling
Data Mining

Career Highlights

Chief AI Officer with over 20 years of experience.
Established AI educational programs at Stanford.
Award-winning leader in AI and data strategy.

Work Experience

Accenture

Chief A.I. & Data Officer (23 yrs 3 mos)

Quantum

Analytics Manager (2 yrs 2 mos)

Education

Doctorate Degree at The City University of New York

MBA at University of Michigan

Lan Guan

CEO

United States25 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Chief AI Officer with over 20 years of experience.
Established AI educational programs at Stanford.
Award-winning leader in AI and data strategy.

Stackforce AI infers this person is a leader in AI-driven consulting and technology innovation.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Data StrategyBusiness StrategyPredictive ModelingData Mining

Other Skills

Machine LearningCloud ArchitectureRoboticsStatistical ModelingCustomer AnalysisCloud-Native ArchitectureAnalyticsManagement ConsultingSegmentationSASStrategyData IntegrationBusiness IntelligenceCustomer AnalyticsCustomer Insight

About

Experience

Accenture

Chief A.I. & Data Officer

Jan 2003 – Present · 23 yrs 3 mos · Greater New York City Area

Dr. Lan Guan is the Chief AI & Data Officer in Accenture. In this role, she advises cross-industry C-suite clients to develop and implement data and AI strategies and products with strategic goals of helping them grow in the new era of Generative AI. She also leads Accenture’s Center for Advanced AI, the AI epicenter that enables enterprises to capture and create value from their AI investment by leveraging deep AI experts, differentiated scalable assets and solutions underpinned by data prowess and industry knowledge, and market-leading thought leadership and research. Lan brings deep expertise in transforming data into actionable insights and plans to maximize market opportunities for clients. She specializes in data strategy, cognitive science, artificial intelligence, and machine learning, cloud architecture, and robotics. Lan is a member of Accenture’s Global Management Committee.
Lan is a founding member of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), an institute dedicated to advancing AI research, education, policy and practice to improve the human condition, where she established the Accenture Stanford Foundation Model Scholar Program. She was listed as one of the Top 25 Consultants and Leaders in AI by The Consulting Report and received the Top 50 Asian American in Business Award in 2023. Lan was the recipient of the Top Women Leaders in Consulting in 2022. Prior to that, she won a STEM Champion for Women award in 2020. One of Lan’s innovations, the B2B Growth Solution powered by AI won the American Business Stevie Gold Award in 2022. Lan serves on the advisory board of the AI4All, a nonprofit organization dedicated to increasing diversity and inclusion in AI education, research, development, and policy. Lan has been awarded over thirty patents in AI-related areas including content recommendations, digital marketing and sales optimization. She is an Adjunct Faculty with Data Science Institute at Columbia University.

Artificial Intelligence (AI)Data StrategyMachine LearningCloud ArchitectureRobotics

Quantum

Analytics Manager

Oct 2000 – Dec 2002 · 2 yrs 2 mos · Atlanta, GA

At this start up custom analytic company specializing in the areas of predictive modeling, sales force optimization, automotive primary research, and database management, Lan worked at various hands-on analytic roles at Automotive and Energy clients.
Senior Analytic Consultant, Automotive Credit - Provided dedicated consulting support around Credit Scoring and Predictive Modeling to one of the Big Three automotive manufactures. Created and validated numerous predictive models for the areas of credit line optimization and fraud, leading to substantial reductions in fraud app losses. Addressed all Credit Risk Analysis/Modeling needs and acted as Predictive Modeling subject matter expert. Built, evaluated and refined multivariate statistical models for predictive efficiency and stability.
Data Mining Consultant, Various Industry Clients - Acted as a Statistical Consultant working with multiple data mining software at industry clients to enhance their internal statistical expertise in segmentation, propensity model, web analytics, and forecasting. Determined client analytical needs and available sources of data, and performed multivariate statistical analyses and model construction. Analyzed Internet click-stream data for general patterns of Internet usage; additionally, special projects focused on apparel and travel industries. Developed pricing diagnostic, market segmentation and strategy analysis for electronics manufacturer, along with Access tool creation, and trained staff to use methodology developed for rational pricing. Developed customer profitability model, provided statistical analysis, tools and reporting, allowing sales agents to restructure accounts and track account improvements. Managed development of several models used for targeting members based on earning acceleration or deceleration, or for partner activity, with some hands-on modeling, profiling and advanced analytics.

Predictive ModelingData MiningStatistical ModelingCustomer Analysis