Job Description
The client is hiring a Director, Analytics and Data Science for our Enterprise Systems department. We invite you to join a team united by our mission to help people and organizations forge brighter futures through educational exchange and lifelong learning. Working at Client is more than just a job; it’s a chance to make an impact. To collaborate with a passionate team, grow your skills, and contribute to programs that change lives around the world.
Learn more about Client and our culture here.
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Summary:
This role will provide hands-on expertise in delivering complex business intelligence (BI) to internal and external stakeholders of the Client and will serve as the Data Analytics and Data Science subject matter expert (SME) for Client Enterprise Systems design and maintenance teams as well as the SME other Client internal and external stakeholders.
This is a hands-on role to enable and enhance the Data Analytics practice at Client and includes managing and adapting Client to cloud-based data platform(s) in collaboration with Client Enterprise Systems teams. The Director is expected to lead all data analytics and data science efforts at Client 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.
Essential Functions:
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Leads enterprise Data Analytics and Data Science efforts at the Institute of International Education.
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Influences and embeds Business Intelligence in solution design and application operations and maintenance activities.
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Collaborates with multiple departments across Client and helps teams to make data-driven decisions.
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Designs, implements and delivers Data Analytics tools (such as Microsoft Power BI) to internal and external stakeholders.
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Oversees Business Intelligence activities such as delivering analysis on data distributions, drawing insights, and developing predictive models.
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Manages vendor-led and in-house digital media measurement programs and manages vendor relationships to ensure deliverables are met.
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Contributes to the ongoing evolution of the measurement framework and engagement model for the ability to benchmark performance and provide context around KPIs.
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Develops sophisticated reporting capabilities in partnership with select vendors and in-house teams who lead Operations, Research, Evaluation, Learning and Fundraising.
Qualifications and Experience:
Education and Work Experience:
Required Knowledge, Skills and Abilities:
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Minimum 5 years working in data and technology, 3 years in Enterprise Data Strategy, and 3 years leading Enterprise Data Management and Data Governance practices.
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Expert-level knowledge of Data Visualization with Power BI (or similar tools).
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Experience working with ETL (Extract, Transform and Load), Data Transformations, Data Warehouse and Building Data Pipelines.
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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.
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Knowledge of common tools and methods for data science, machine learning, and business intelligence
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Capability to generate Data Visualization and Data Insights with existing data from Programs.
Preferred Knowledge, Skills and Abilities:
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Experience with Azure and Microsoft Platforms is preferred. Google Cloud Platform and/or AWS tools and services experience will be considered.
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Experience and knowledge of Machine Learning, Big Data and AI, along with Data Security within the Azure platform is highly preferred.
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