Data Warehousing Manager manages the daily activities of the team responsible for the design, implementation, maintenance, and support of data warehouse systems and projects. Oversees data design and the creation of database architecture and data repositories. Being a Data Warehousing Manager ensures that reporting, modeling, and ETL projects and initiatives are supported fully and run smoothly. Installs processes for auditing data warehouses and ensuring data quality. Additionally, Data Warehousing Manager requires a bachelor's degree. Typically reports to a director. The Data Warehousing Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Warehousing Manager typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes. (Copyright 2024 Salary.com)
Location: Elijah McCoy Building
Additional Information: Role reporting to Pathology and Laboratory Medicine
GENERAL SUMMARY:
Serves as an internal expert resource regarding data management operations, including
programming. Oversees the day-to-day operations, personnel management, quality
improvement, and strategic planning for data operations including availability and
security of data assets. Assists with the development of operational plans and monitors
the progress and performance of data management and programming services for
research projects; to include service quality, data integrity, timeliness of deliverables,
and adherence to budget. Develops and implements strategies to enhance the
performance and capabilities of Data Operations.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
1. Serves as an internal expert resource for faculty and staff with regard to data
management and programming services.
2. Develops, implements and maintains efficient approaches to acquisition,
maintenance and characterization of research datasets available internally and
collected from distributed research networks, payers and other sources.
3. Oversees the development and implementation of workflow and operations
processes across projects. Monitors progress and performance and ensures that
services are performed in accordance with timeliness, quality standards, applicable
regulatory requirements and budgetary limits.
4. Collaborates with other functional groups, partners, and vendors, including scope
development and management of deliverables to achieve research aims and
departmental/organizational goals.
5. Devises optimal data collection strategies based on research aims
EDUCATION/EXPERIENCE REQUIRED: