PROFESSIONAL SUMMARY
- Global AI/ML, Data Management, and Technology Executive experience in building and leading Global Data Science team as well as Global Engineering team in CMO/CDO/CIO/CTO office with budgets range from $2M to $150M.
- Advisory Board Member of Google Cloud AI, University of Georgia CS Department, and University of Miami IDSC.
- Data Technology & Strategy leader experience in highly regulated Financial sector implementing large Enterprise Data Governance program, setting and driving long term data strategy roadmaps in alignment with corporate strategic objectives.
- AI/ML leader designed and Implemented an E2E self-serve Enterprise AI/ML Platform and A.I. Services for 6000+ users, enabled use cases impacting 200M+ customers with billions dollar of revenue.
- Experience spans across Technology, Travel/Hospitality, and FinTech industry, with track record in building and scaling cross-functional teams to drive transformation in large corporations and startups.
- Experience in driving the value of Augmented Intelligence to transform business culture, build value, drive growth, and create environment of continuous improvement.
- Ph.D. in Machine Learning with international experience living & working in Europe, Asia, and North America.
AREAS OF EXPERTISE
- Data Management & Architecture (ER/Studio, BigID, Collibra, Dataguise, Manta), Data Engineering, Data Science
- Artificial/Business/Customer/Data-Intelligence, and large-scale Platform Engineering (200+ Engineers)
- CX, Strategic Planning, Digital Transformation, Digital Marketing & E-commerce, Customer Insights, CRM
- Big Data: Hadoop Ecosystem, Data Warehouse, Data Lake, Private & Public Cloud Solutions (AWS, GCP, etc.)
- MarTech: Neustar DMP/DSDK/MTA, CDP, DAM, CMS, ESP, Optimizely, Tealium, etc.
- AdTech: DSP, SSP, Google DoubleClick, GA360, Adobe Analytics, Programmatic Advertising, etc.
EDUCATION BACKGROUND
Ph.D. in Computer Science, The University of Georgia, Athens, Georgia, USA
B.Eng. in Computer Science and Technology, Shanghai University, Shanghai, China
- Overall GPA : 3.2/4.0, Major GPA : 3.7/4.0
- Worked in the area of network computing and distributed systems
PROFESSIONAL EXPERIENCE
American Express (NYSE: AXP) | Miami/Fort Lauderdale Area, FL, USA | 2019 - Present
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Vice President (Unit CIO), Head of Enterprise Data Technology & Augmented Intelligence | CTO Office | 05/2021 - Present
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Promoted to create a global Data Technology and Augmented Intelligence cross-functional unit, leading 1,200+ individuals with $150M annual budget. Overseeing enterprise level strategic capabilities such as:
- Global Tech Data Strategy (Enterprise Data Management, Enterprise Data Architecture, Data Quality/ Localization, etc.)
- Enterprise Data Platforms (Big Data - Hadoop Ecosystem, Next Gen Big Data – Public Cloud, Enterprise Real-Time Event Processing & Analytics, etc.)
- Enterprise AI/ML Engineering & Governance (E2E AI/ML Platform, AI Services, Evangelization)
- Enterprise Business Intelligence Engineering (Analytics Platform, Data Warehouse, etc.)
- Enterprise Customer Intelligence Engineering (Personalization, AdTech, MarTech)
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Vice President, Enterprise Data Architecture & Machine Learning | CTO Office | 04/2020 - 05/2021
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Leading global strategy and development of four strategic Enterprise capabilities: Enterprise Data Management & Architecture (partner with CDO Office), Enterprise Real-Time Event Processing & Analytics Platform (800,000 TPS, 200M+ customers), Enterprise Machine Learning Engineering (E2E Platform, AI Services, Evangelization for 6,000 users on billions dollar of revenue), and chairing the Model Technology Risk Committee (OCC, FDIC, etc. Regulator facing) enabling E2E development and execution of AmEx's AI/ML and data management strategy, to enable world-class colleague and customer experiences with an emphasis on applying data and machine learning techniques to drive AI+Human-driven decision making.
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Vice President, Data Strategy & Transformation | Global Services Group Technology | 01/2019 - 04/2020
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Led Data Strategy, Artificial/Business/Customer/Data-Intelligence, and Omnichannel CX Transformation; reports to Unit CIO of Global Services Group and Corporate CTO. Driving strategic planning and a cohesive set of technology solutions enabling data and platform transformation, by collaborating across all channel teams and the critical technology platforms that support Colleague and Customer Experiences. Delivering the strategic implementation on the E2E design of intelligence solutions across the omnichannel ecosystem; lead the Lean Portfolio Architecture & Discovery function to champion agility, quality, and scalability across platforms and Enterprise large initiatives.
Carnival Cruise Line (NYSE: CCL, LSE: CCL) | Miami/Fort Lauderdale Area, FL, USA | 2017 - 2018
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Senior Director, Cross Brand Analytics & Data Science | CDO Office (Global Digital Strategy) | 06/2018 - 11/2018
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Senior Director, Head of Marketing Analytics & Data Science | CMO Office | 06/2017 - 06/2018
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Led Digital Marketing & eCommerce, Customer Intelligence & CRM, Social & Paid Media Optimization, and related technology solutions; reported to CMO/CDO covered international markets. Built the digital transformation and data science function as a CoE (9 Brands over 49% market share worldwide) for business transformation, responsible for the optimization of $65MM annual budget. Partnered with global technology and digital partners to ensure our business stays ahead of the highly complex digital trends and market moves. Oversees global data strategy, analytics, data science practice, and corresponding technology initiatives (A.I., Big Data, Cloud, DMP, CDP, MarTech, AdTech, etc.). Evangelist for maximizing the use of data and advanced analytics to drive CX and business growth, partnered with the CIO office for strategic implementation on Data and Emerging Technology solutions along the digital transformation journey.
Las Vegas Sands Corp. (NYSE: LVS) | Singapore • Macau S.A.R. • Las Vegas, NV, USA | 2014 - 2017
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Global Director, Data Science | Corporate Marketing / Corporate IT | 05/2015 - 06/2017
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Senior Manager, Data Science | Corporate CRM & Loyalty Marketing | 03/2014 - 05/2014
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Led Global Data Science practice with digital focus to drive CX and business growth; reported to Corporate CMO and CIO covered international markets. Built the global data science team from scratch for the largest Integrated Resort and Casino Corporation; led a team of Statistics, Machine Learning, and Economics Experts leveraging on/offline customer behavior and consumption patterns, incorporated with Advanced Analytics to maximize revenue for different business units: Casino, Marketing (eCommerce & Digital, CRM & Loyalty, Consumer Research), Hotel Operations, and Revenue Management. Managed the full Analytics lifecycle including data requirements, KPI definition, measurement planning, reporting, and providing of insights and recommendations. Designed and implemented modern data platform on public cloud to enable advanced data engineering capabilities, functionally and internationally. Established techniques and knowledge for leaders (C-Suite) to make a data driven mindset an integral part of the corporate strategy.
Think Big Analytics, A Teradata Company (NYSE: TDC) | Mountain View, CA, USA | 2013-2014
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Senior Data Engineer | Engineering | 2013 - 2014
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Managed the full development lifecycle including requirements analysis, system design, KPI definition, measurement planning, reporting and the providing of insights and recommendations. Developed advanced algorithms and data pipelines to discover business insights/value from both structured and unstructured data sets, designed and implemented big data processing solutions for different business verticals utilizing various technologies (Hadoop, Hive, Pig, HBase, Oozie, Java, Shell script, R, Python, SVN, Machine Learning, NLP, etc.). Synthesized and advocated insights, and recommendations from data analytics and modeling. Involved projects covered a wide variety of industries such as technology, finance, and online media.
IBM T.J. Watson Research Center (NYSE: IBM) | Hawthorne, NY, USA | 2012
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Research Intern | Services Innovation Lab. | 05/2012 - 08/2012
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Responsible for research in the Cloud Performance and Availability Management domain. Designed and implemented solutions with Java, NLP, and various Machine Learning algorithms (i.e. SVM, Neural Network, Decision Tree, Clustering, Logistic Regression) to automatically detect and consolidate ticket data that caused by the same root cause to effectively reduce operating costs. Evaluated solutions by designing and implementing test and control group. Built, deployed, and measured predictive models with large volumes of data. Synthesized and advocated findings, insights, and recommendations from data and analytics.
The University of Georgia | Athens, GA, USA | 2008 - 2013
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Researcher | Department of Computer Science | 08/2008 - 08/2013
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Conducted research, managed a large amount of data to develop statistical and Machine Learning algorithms to solve problems in the domains of Cancer Prediction, Malware Clustering, Real Time System Scheduler Optimization, and Financial Market Prediction, etc. Mainly focus on combining multiple supervised and unsupervised learning approaches to reduce prediction uncertainty. Evaluated models by designing and implementing test group and control group. Synthesized and advocated findings, insights, and recommendations from data and analytics. Published research results to world-class conferences and journals. Provided cross-functional team and project management to our ECML research lab.
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Software Engineer | Department of Pathology (College of Veterinary Medicine) | 08/2009 - 08/2013
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Led the design and implementation of the subscription-based Noah's Arkive, a pathological image searching platform, with Java, Struts, Hibernate, and MySQL. Developed advanced algorithms to optimize searching response time with limited resources. Implemented predictive and prescriptive analytical models to increase revenue through customer response. Synthesized and advocated insights and recommendations from data and analytics. Developed components for the VetView platform system with JasperReports and Grails. Provided software development as well as cross-functional team and structured project management to the department.
Cable & Wireless Communications (Macau Branch: CTM) | Macau S.A.R. | 2006 - 2008
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Senior IT Specialist | IT Infrastructure (Security) | 02/2008 - 08/2008
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Developed information and network systems security solutions. Performed security incident response, investigation and compliance Review. Managed change controls and security platforms (IPS, VPN, Firewall, etc.). Managed both division and company level technology system disaster recovery drills, and designed corresponding contingency plans. Supervised junior team members within the IT infrastructure department on various projects.
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Analyst Programmer | IT Support & Development | 10/2007 - 01/2008
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Assistant Analyst Programmer | IT Support & Development | 12/2006 - 09/2007
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Collaborated with various in/external teams to implement the Kenan FX Billing and Customer Care Solution. Developed various business automation processes with Java, shell script, Oracle DB in both Windows and UNIX environments. Automate the Telecommunications Provisioning processes, and provided support to the IBM Tivoli workload scheduler.
Webasto AG. | Munich, DE, Germany | 2005
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Intern - IT | 07/2005 - 10/2005
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Developed software with Delphi, VBA, and Access database. Implemented a resource management and real-time scheduling system for the company, the system was used daily by all employees in headquarters to schedule the availability and to manage corresponding information of all testing chambers. Provided IT solutions to various departments in the organization.
ADVISORY EXPERIENCE
Google Cloud (NASDAQ: GOOGL) | Mountain View, CA, USA | 2021
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Advisory Council Member | AI Technical Advisory Council (TAC) | 2021 - Present
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A community of carefully selected leaders to help Google Cloud set strategic priorities and shape opportunities for joint success. Council members will have an insider’s look into Google’s vision, AI roadmaps and technology release with an opportunity to influence and co-create Cloud technology and product strategy.
University of Georgia | Miami, FL, USA | 2020
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Advisory Board Member | Computer Science Department | 04/2021 - Present
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Provide leadership and counsel on the strategic development of the Computer Science department in University of Georgia (UGA), be part of the strategic development of the department by leveraging state-of-the art resources and enabling novel interdisciplinary collaborations across UGA and with industry partners
University of Miami | Miami, FL, USA | 2020
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Advisory Board Member | Institute for Data Science & Computing (IDSC) | 11/2020 - Present
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Provide leadership and counsel on the strategic development of IDSC, to transform IDSC into an innovative leader in data science as well as to catalyze data-intensive research across the University of Miami (UM). Advise executives by leveraging state-of-the art resources and enabling novel interdisciplinary collaborations across UM and with industry partners
Florida Atlantic University | Miami, FL, USA | 2020
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Affiliate Graduate Faculty | College of Engineering & Computer Science | 04/2020 - Present
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Appointed by the Office of the Dean to serve as an Affiliate Graduate Faculty, to bring significant industrial experience from the real world to the institution. Participate in research grant and contract endeavors, and serve on Graduate (mainly Doctoral) advisory committees for research related to AI/Machine Learning and Big Data.
Motorsport Network (NASDAQ: MSGM) | London, UK • Miami, FL, USA | 2018
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Executive Advisor | Digital Transformation & Data Science | 06/2018 - 12/2018
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Partner with executive teams in the US and UK to strategize and execute Digital Transformation, mainly focus on Data Strategy and Data Science. Motorsport Network is an international media and technology company that owns and operates multiple brands that connects millions of people with focus on motor racing and consumer automotive content. Motorsport Network is the home of the world’s largest audience of motorsport enthusiasts, and its content is present across digital, TV, OTT, print, social and live events. The company’s technology platform and its respected brands are published across 25 editions in 17 languages around the world, promoting major racing championships, race teams, drivers, circuits and manufacturers.
Talents Development Committee of Macau S.A.R. | Macau S.A.R. | 2015
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Expert Panelist | Talents Development Committee | 2015
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As one of the 20 overseas experts to participate into the "Talents Group Investigation Program". Set strategic priorities on Big Data and Data Science initiatives with the committee members, think tanks, chambers of commerce, large enterprises and private associations. Discussed with local leaders, professionals, and entrepreneurs to comprehend the future development trends of various industries and demands on human capital in Macau SAR.
Genetic and Evolutionary Computation Conference (GECCO) | International | 2012 - 2017
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Program Committee Member | Genetic Algorithm (GA) Track | 2012 - 2017
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Invited by the GECCO organizers to review and select among submissions of scientific papers that are believed to have significant contributions and to be most adequate for presentation in the conference.
SELECTED SCIENTIFIC PUBLICATION (PEER REVIEWED)
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ManChon U, Eric Talevich, Khaled Rasheed, Natarajan Kannan; "Prediction and Prioritization of Rare Oncogenic Mutations in the Cancer Kinome Using Novel Features and Multiple Classifiers", PLoS Computational Biology, Vol. 10, No. 4, p. e1003545, 2014.
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U, M. (2013). Improving Learning Outcomes by Using Clustering Validity Analysis to Reduce Label Uncertainty (Doctoral Dissertation, The University of Georgia, Athens, GA, USA). Retrieved from https://athenaeum.libs.uga.edu/handle/10724/29675
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Roberto Perdisci and ManChon U; "VAMO: Towards a Fully Automated Malware Clustering Validity Analysis", The 28th Annual Computer Security Applications Conference (ACSAC 2012), pp.329-338, Orlando, FL, USA, 2012. (Acceptance Rate: 19%)
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ManChon U, Chiahsun Ho, Shelby Funk and Khaled Rasheed; "GART: A Genetic Algorithm based Real Time System Scheduler", Proceeding of 2011 IEEE Congress on Evolutionary Computation (IEEE CEC 2011), pp.886-893, New Orleans, LA, USA, 2011
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ManChon U, Zhen Li; "Public Goods Game Simulator with Reinforcement Learning Agents", Proceeding of The Ninth International Conference on Machine Learning and Applications (ICMLA 2010), IEEE, pp.43-49, Washington DC, USA, 2010
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ManChon U, Khaled Rasheed; "A Relative Tendency Based Stock Market Prediction System", Proceeding of The Ninth International Conference on Machine Learning and Applications (ICMLA 2010), IEEE, pp. 949-953, Washington DC, USA, 2010
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ManChon U, Vasim Mahamuda, Khaled Rasheed; "On the Scalability of Supervised Learners in Metagenomics", Proceeding of The Ninth International Conference on Machine Learning and Applications (ICMLA 2010), IEEE, pp. 803-807, Washington DC, USA, 2010
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Vasim Mahamuda, ManChon U, Khaled Rasheed; "Application of Machine Learning Algorithms for Binning Metagenomic Data", Proceeding of The 2010 International Conference on Bioinformatics & Computational Biology (BIOCOMP'10/ISBN:1-60132-132-5/CSREA), pp.:68-74, Las Vegas, USA, 2010
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ManChon U, Shen Wenfeng, Xu Weimin, Zhu Yonghua; "A Scalable Service Discovery and Resource Assignment Scheme for Network Computing Systems", Proceeding of The 2007 International Conference on Internet Computing (ICOMP'07/ISBN:1-60132-044-2/CSREA), pp.:96-102, Las Vegas, USA, 2007
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Man-Chon U, ZHU Yong-hua, XU Wei-min; "Study and implementation of the Server-Centralized Service-Oriented Infrastructure for Network Computing", 2006 National Open Distributed and Parallel Computing Symposium (DPCS2006), Xi' an, China, 2006. MICROELECTRONICS & COMPUTER (Chinese Core Journal, ISSN : 1000-7180(2006)S0-0253-03), Vol.23, No.z1, P.253-255, 2006
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