- To lead and work with IT team to meet fast growing business needs; plan resources and prioritize with business stakeholders in a time-sensitive environment with competing deadlines.
- Improve and strengthen data governance especially on data privacy protection and security measures.
- Working closely with source system owners on data discovery, data glossary, data acquisition, ingestion and enrichment.
- Build enterprise data models for enterprise datalake, data warehouse and data marts.
- Working closely with downstream system owners on data integration
- Working with business units on data visualization: KPI/metric reporting, business intelligence for enterprise performance analysis
- Working closely with technical architecture team to identify, evaluate and adoption of new data management technologies (RDBMS, Hadoop, NoSQL, data integration, visualization) to keep up evolving business needs.
- Lead and work with IT team on data discovery, data acquisition/integration/enrichment from a wide-spectrum of data sources
- Data modeling for datalake, data warehouse & data marts
- Data visualization, data governance as well as new technology adoption
- University graduate in Information Technology, Computer Science, Data Science or related disciplines
- At least 10+ years of experience in data warehouse & analytics domain, with 5+ years in leader role in BigData project.
- Strong business acumen and fast learner of new business.
- Strong problem solving skills, excellent communication and presentation skills
- Solid technical experience in datalake, data warehouse and data mart design, batch/real-time data integration (ETL/ELT), data visualization, and data analytics.
- Deep understanding of data security and compliance.
- Solid knowledge on data management technologies:
- RDBMS, NoSQL, Hadoop eco-system
- Data integration coding and tools (Informatica, InfoSphere, Talend, etc)
- Data Visualization tools (e.g. QlikSense, Tableau, PowerBI, Jasper, Pentaho, etc.)
- Solid experience in marketing campaign system and digital marketing techniques.