• 34089
  • Non-Life - Data Science
  • |
  • British Columbia, Canada
  • |
  • Aug 28, 2018
  • Establishing a strong partnership with internal customers and stakeholders.
  • Align Information management data services to support business objectives.
  • Managing the continued evolution of data products for operational analytics, Strategic analytics, Pricing and actuarial.
  • Provide technical leadership and assist with “hands-on” contribution for data preparation for analytics stakeholders.
  • Lead delivery of data solutions, manage project timelines and customer relationships.
  • Contribute to data management strategies including solution and data architecture.
  • Provide centralized analytics support and establish a data preparation function to support the business needs.
  • Ensure product quality in delivering data products using agile practices.
  • Provide optimized solutions and do value monitoring, quality assurance and data validations.
  • Mentoring staff on information management best practices and standards.
  • Working with partner functions to ensure that the information management practice coincides with other practices and methodologies.
  • Supporting the development and enhancement of the information management practice to meet the changing needs of the organization including the identification of new tools and techniques to enhance service delivery.
  • Your knowledge of business domain, data engineering, data science and passion along with your ability to lead and inspire a team, will play a key part in your success in this role.
  • Demonstrated experience in large and complex data intensive information projects using industry best practices and standards.
  • Demonstrated “hands-on” experience in big data architecture, data blending, data curation and data transformation is essential.
  • Technical knowledge and hands-on experience in data management using big data technologies & tools.
  • Data analysis experience using python or Scala programming tools.
  • Innovative and passionate about solving complex problems with variety of data & analytical tools.
  • 2-3 years of people management experience in public or private sector.
  • Knowledge of Hadoop ecosystem components, such as: HDFS, Hbase, Apache spark, Hive and data streaming tools is essential.
  • Strong understanding of database concepts and working knowledge with relational and NoSQL database technologies.
  • Knowledge of BI tools, data visualization, reporting and analytical tools.
  • Demonstrated experience in defining and delivering data management strategies.
  • Understanding of data governance framework and practices.
  • Strong oral & written communication skills are required.