Analytics & Data Director, ADS Securities
Jorge Sanz is a highly-experienced leader in Data Management/Data Governance, Advanced Analytics (Artificial Intelligence, Machine Learning), Business Intelligence, Data Monetization and Big Data. He has a Master in Business Administration (MBA), a Statistics Degree and over 24 years of strong advisory and end to end programme delivery involvement across a range of industries and countries.
He is specialised in sectors such as Government (National Health, Transport, Museums, Army, Energy and Labour), Financial Services (Banking, Trading, Investment, Wealth management and Asset management), and Insurance. Throughout the course of his life, Jorge has focused on data driven decision management, stablishing successful Data Management/Governance and Analytics strategy, capabilities, roadmaps and domain solutions for organizations such as ADS Securities, Louvre Abu Dhabi, Big Four and Top International Consulting Organizations.
He is a well-rounded individual with in depth experience spanning across Data & Analytics capability development, programme & project management in countries such as UAE, KSA, UK, Australia, Ireland, Germany, Portugal, Spain, and India. Moreover, Jorge has collaborated on different initiatives with multicultural teams formed by individuals from more than 12 different countries. He has lived in various countries such as UAE, Australia, UK, Ireland and Spain, which has allowed him to broaden his understanding of analytics through the collaboration of experts worldwide.
Jorge’s advisory expertise covers Strategy definition, Operating model establishment and end to end program delivery in the domains of Data Foundation, Finance Analytics, Customer Analytics, Risk Analytics, Operations and Supply Chain Analytics joining the bridges between business, technology and Research and Development.
One of Jorge’s greatest achievements was working in Project management and project deployment of Data & Analytics, EPM, IM & BI projects above $ 12,000,000 in MENA, $ 60 million in Australia, $ 2,500,000 in UK and $ 4,000,000 in Spain. He has also defined, developed and deployed AI, Analytics, EPM/FPM/IM Strategy, Business processes, Business Architecture and Enterprise Architecture for leading organizations. Furthermore, Jorge has developed information management departments in technological consulting companies worldwide. For example, in a company in Spain, incomes increased over $ 2.9 million per year and Analytics & Data staff expanded from 3 to 43.
Jorge Sanz has a combined passion for technology and business strategy and is constantly interested in understanding about how new technologies regarding to analytics and data accelerate world satisfaction, public resource allocation, environmental protection and business performance.
Jorge has an extensive experience in the use of top Analytics & Data architectures, technologies and tools, for example:
• AI/MACHINE LEARNING & BIGDATA: (KNIME, Python, R, SPSS Modeller, SAS, Mlib, TensorFlow, SPARK, MongoDB, HIVE, Hadoop).
• FPM, EPM, DWH, EIS/DSS/OLAP./ROLAP/ETL, IM: Oracle Hyperion (Essbase, Planning), Microsoft SQL Server, Power BI, Qlikview , Tableau, Spotfire, Business Objects, WEBI(+ 3 Years), Xcelsius, Cognos (TM1, Reportnet, Powerplay, Transformer), SAS, Microstrategy, DataStage XE, Informatica, Big Data (Hadoop, Spark, HDFS, Kafka), Splunk, Neo4j, Oracle/DB2/SQL Server.
• PROGRAMMING LANGUAGES: Visual Studio, Visual Basic, Visual C++,.
• DATA BASES: Oracle, SQL Server, Db2, Access, HIVE, MongoDB, Cassandra.
• DATA MANAGEMENT and DATA QUALITY: Informatica, Information Analyzer and Infosphere Data Architect.
His hobbies include participating in a number of sports, cooking international cuisine, reading a variety of books (focused on business and technology), listening to music and travelling around the world.
To finalise, Jorge believes that Data Scientists are contributing to make a better world by finding insights from the data that they collect. Using these insights governments and companies are able to improve citizen and customer satisfaction. However, the data management and data governance capabilities are the foundation to the success of these objectives. Moreover, the use of cheaper/shared/powerful new technologies and specialised knowledge about these technologies contribute to generating faster results.