Analytics & Data Science Head leads the analytics and data science section and overlooks analytics use case and KPI development, visualization and artificial intelligence and machine learning initiatives for the company
Oversee the analytics and data science section operations
Collaborate with other teams of the company to consolidate efforts on data analytics and data science activities
Lead the formulation of use cases and KPIs
Provide final approval on data dashboards and visualizations
Perform review of data models and pipelines built to ensure they serve the intended purpose outlined in the analytics agenda
Assist in formulating the company’s Data Strategy and drive the definition of the underlying analytics strategy and roadmap
Overlook the implementation of artificial intelligence and machine learning initiatives
Discuss and seek approval from the Director of Value Realization Data Department on all analytics and data science strategic topics
Facilitate the collaboration between his department and others
Cover the role of the analytics champion
Review and approve Business, Functional and Technical requirement documents (BRD, FRDs, and TRDs)
Perform review on the outcome of business intelligence data analysis, including revenue analysis, sales analysis, market information analysis, or analysis of other customer engagement metrics of a business
Suggest and assist in the development of program tools and data models to help visualize or monitor data if needed
Understand business requirements of the entity in the BI context and work closely with the Data Visualization Engineers to design data models to transform raw data into meaningful insights
Requirements
Between 6 to 10 years of experience as an Analytics Senior Leader, with proven know-how in leading major Data transformation programs
Relevant degree in Computer Science, Engineering, or relevant field; graduate degree in Data Science or another quantitative field is preferred
Strong managerial and communication skills
Experience using business intelligence tools and data frameworks
Analytical mindset and business acumen
Good knowledge and understanding of different technologies (Azure, AWS, SAP) and how they co-exist to create a Business Intelligence Platform
Strong value realization, collaboration, communication, negotiation, influence, and strategic vision skills