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VP, AI at Jumio Corporation Scaling enterprise-grade AI systems | Responsible AI | Leading, inspiring & mentoring
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Assessing your cultural and operational fit
Executive leader who transforms legacy processes and products into AI-powered growth engines, Alix drives fundamental changes in a pragmatic manner while bringing operational discipline as well as AI governance maturity in a global context. Experienced in aligning and inspiring diverse, global teams across North America, Europe, and Asia while collaborating with C-suite executives, and engaging with customers and the public.
Caltech
Machine Learning course, Y. S. Abu-Mostafa, edX.org
January 1, 2014 – January 1, 2014
Université de Grenoble
PhD, Physics
January 1, 2007 – January 1, 2010
Beijing Language and Culture University
HSK 3, Mandarin
January 1, 2007 – January 1, 2007
EPFL
Master, Physics
January 1, 2005 – January 1, 2007
École Polytechnique
Engineer, General, speciality physics
January 1, 2002 – January 1, 2007
Lycée Louis-le-Grand
DEUG, Mathematics-physics
January 1, 2000 – January 1, 2002
Jumio Corporation
Vice President of Artificial Intelligence
August 1, 2019 – Present
Jumio Corporation
AI Team Lead
January 1, 2019 – July 1, 2019
Hoodline
Technical Advisor
January 1, 2019 – July 1, 2019
San Francisco Bay Area
Hoodline
Lead of Content Intelligence and Automation
August 1, 2018 – January 1, 2019
San Francisco Bay Area
Hoodline
Machine Learning Engineer
October 1, 2017 – August 1, 2018
San Francisco Bay Area
xpresso.ai
Technical Lead
September 1, 2016 – October 1, 2017
xpresso.ai
Senior Software Engineer, Data Scientist
May 1, 2015 – October 1, 2017
Certified SAFe® 5 Agilist
SAFe by Scaled Agile, Inc.
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research (PhD in Physics) and industry leadership roles in AI/ML. Their experience in global teams (North America, Europe, Asia, India, Bay Area) and working with various companies (Jumio, Hoodline, xpresso.ai) suggests adaptability and a broad perspective. However, the target role is 'Data Analyst', which is a significant step down from their current and past leadership roles (VP of AI, AI Team Lead, Technical Lead). This mismatch in seniority and scope could indicate a potential cultural fit challenge regarding role expectations and career trajectory, or a strategic pivot not fully explained by the resume. The candidate's experience is heavily skewed towards AI/ML engineering and leadership, not traditional data analysis.
Soft Skills & Operational Fit
The candidate's experience as a VP of AI and team lead suggests strong leadership, strategic thinking, and cross-functional coordination skills. Their work in establishing AI governance frameworks indicates an understanding of responsible AI principles and regulatory compliance. The descriptions imply a proactive approach to problem-solving and scaling engineering organizations.