Director, Analytics and Data Science
Job in
New York, New York County, New York, 10007, USA
Listed on 2026-08-21
Listing for:
Institute of International Education
Full Time
position Listed on 2026-08-21
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
The Director, Analytics and Data Science at Institute of International Education will lead the Data Science & AI function to advance data-driven decision making across Educational Services programs. You will define analytics strategy, oversee data science roadmaps, and deliver cloud-based, production-grade models that enhance learner outcomes and operational efficiency. Partnering with cross-functional leaders, you'll translate complex insights into actionable recommendations, champion data governance, and mentor a high-performing analytics team in a fast-paced, innovative, and collaborative environment.
Responsibilities
- Define and execute the analytics and data science strategy for Educational Services programs.
- Lead and mentor a high-performing data science and analytics team.
- Design and oversee development of cloud-based analytics products and predictive models.
- Collaborate with cross-functional leaders to embed analytics into decision making.
- Establish and enforce best practices for data governance, quality, and security.
- Translate complex analytical insights into clear, actionable recommendations for stakeholders.
- Drive experimentation, A/B testing, and measurement frameworks for key initiatives.
- Partner with engineering teams to product ionize and scale data science solutions.
- Monitor model performance and ensure ethical, responsible AI practices.
- Foster a culture of innovation, collaboration, and continuous learning in analytics.
Required Skills
- Statistical modeling
- Machine learning
- Data engineering for analytics
- SQLPython or RCloud computing (AWS, Azure, or GCP)
- Data visualization (Tableau, Power BI, or similar)
- MLOps and model deployment
- Data governance and privacy
- Experimentation and A/B testing
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