Reporting to the Sr. Director of Business Systems the Director of Analytics and Data Science will provide hands-on expertise in delivering complex business intelligence (BI) to internal and external stakeholders of the Institute of International Education (IIE) and will serve as the Data Analytics and Data Science subject matter expert (SME) for IIE’s Business Systems design and maintenance teams as well as the SME other IIE internal and external stakeholders.
This is a hands-on role to enable and enhance the Data Analytics practice at IIE and includes managing and adapting IIE to cloud-based data platform(s) in collaboration with IIE’s Business Systems teams. The Director is expected to lead all data analytics and data science efforts at IIE and embed Data Analytics as part of solution design and maintenance of business applications. The Director works with internal and external stakeholders and the other business system teams to develop business intelligence specific requirements and align them to solutions.
The Director oversees the delivery of data distribution, insights and predictive models to support decision making. This role champions the use of business intelligence across the organization and the alignment of data to drive a single source of truth for the organization. The role calls for an individual with strong data management aptitude, ability to work effectively in a cross functional environment and ability to validate business insights as needed.

The Institute of International Education (“IIE”) has a hybrid work environment that allows team members a combination of in-office work and telework at any of the locations listed above.

• At least three years experience in Enterprise Data Strategy and leading Enterprise Data Management and Data Governance practices.
• Expert level knowledge of Data Visualization with PowerBI (or similar tools)
• Experience working with ETL (Extract, Transform and Load), Data Transformations, Data Warehouse and Building Data Pipelines.
• Strong project management and presentation skills, including a track record of overseeing a portfolio of multiple projects and comfort with both large and small audiences.
• Knowledge of common tools and methods for data science, machine learning, and business intelligence
• Capability to generate Data Visualization and Data Insights with existing data from Programs.
• Experience with Azure and Microsoft Platforms is preferred. GCP, and/or AWS tools and services experience will be considered.
• Experience and knowledge of Machine Learning, Big Data and AI along with Data Security within Azure platform is highly preferred