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Engineering Leadership, Machine Learning @ Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IESE Business School
Artificial Intelligence for Executives, Artificial Intelligence
January 1, 2020 – January 1, 2020
Liaoning University
Chinese Studies
January 1, 2013 – January 1, 2013
Inner Mongolia University (内蒙古大学)
Chinese Studies
January 1, 2011 – January 1, 2012
Universidad Carlos III de Madrid
Doctor of Philosophy (Ph.D.), Mathematical Engineering
January 1, 2010 – January 1, 2014
Universidad Carlos III de Madrid
Master of Science (MsC, +120 ECTS equivalent), Mathematical Engineering
January 1, 2008 – January 1, 2010
Universidad Complutense de Madrid
Bachelor of Science (BsC, +240 ECTS equivalent), Mathematics
January 1, 2003 – January 1, 2008
Meta
Engineering Leadership - Machine Learning
December 1, 2022 – Present
Valencian Community, Spain · Remote
SAP
Senior Director, Head of AI Functions Europe
December 1, 2021 – December 1, 2022
SAP
Director, Head of AI Business Services Germany
July 1, 2021 – December 1, 2021
SAP
Machine Learning Development Manager
April 1, 2017 – June 1, 2021
SAP
Machine Learning Development Expert
July 1, 2016 – April 1, 2017
ExB Research and Development
Machine Learning Researcher
August 1, 2013 – July 1, 2016
Leipzig y alrededores, Alemania
Partial Differential Equations and Applications Group (geda)
Researcher
January 1, 2010 – May 1, 2014
Madrid y alrededores, España
Indizen Technologies
Development Engineer
November 1, 2008 – July 1, 2012
Madrid y alrededores, España
Shuai Jiao International Intensive Training
Hohhot AIBO Shuai Jiao International Club (China)
June 24, 2026 – Present
Hanyu Shuiping Kaoshi (HSK - 4 / B2 CEFR equivalent)
Confucius Institute (孔子学院)
June 24, 2026 – Present
Qualified Negotiator®
Schranner Negotiation Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience in large, global technology companies (Meta, SAP) indicates adaptability to corporate environments. Their academic background and research experience suggest a strong inclination towards continuous learning and intellectual curiosity. The diverse educational background, including Chinese Studies, points to an open-minded and culturally aware individual. However, the target role of 'Data Analyst' is a significant shift from their recent leadership roles in Machine Learning Engineering. While their analytical foundation is strong, the direct alignment with the day-to-day responsibilities of a Data Analyst, which often involves more direct data manipulation, reporting, and visualization rather than strategic ML leadership, is not explicitly demonstrated. This might indicate a potential mismatch in expectations for a hands-on data analyst role versus a more strategic, high-level analytical role.
Soft Skills & Operational Fit
The candidate's career progression from researcher to engineering leadership at Meta and SAP suggests strong leadership, strategic thinking, and project management skills. Their academic background in mathematical engineering and experience in AI/ML imply strong problem-solving and analytical capabilities. The 'Qualified Negotiator' certification also points to strong communication and negotiation skills, which are valuable in a senior role. However, the provided data does not offer direct insights into their day-to-day operational fit for a pure Data Analyst role, especially regarding hands-on data manipulation and visualization tools.