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Manager of Data Integration

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Salary: $100,000 – $130,000 per year

69

Company Description

By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.

Why join the Harvard Faculty of Arts and Sciences?

The Faculty of Arts and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences, founded in 1872), Harvard Athletics and the Division of Continuing Education. The 40 academic departments and 30+ centers of the FAS support a community unparalleled in its academic excellence across the broadest range of liberal arts and sciences disciplines. Together, the FAS seeks to foster an environment of ambition, curiosity and shared commitment to knowledge and truth that elicits excellence from all members of our community and prepares the next generation of leaders through a transformative educational experience.

Job Description

Job Summary:

Responsible for overall data management design and construction, ensuring optimization of data access, integration, and utilization. Manage interface and connectivity between multiple data storage sources using advanced database administration expertise.

Job-Specific Responsibilities:

The Manager of Data Integration (MDI) is responsible for the Extract/Transform/Load (ETL) practice. The MDI works with developers, the technical infrastructure team and product owners to support the timely and reliable delivery of integration services and features. The MDI maintains the technology currency of the Informatica implementation.

Duties and Responsibilities include:
  • Design, develop, and document complex tasks, including:
    • Informatica integrations, data synchronizations, mappings, APIs, and OData. Extract, transfer, and Load data in disparate enterprise systems.

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