IT Manager, Level 2-Duke Health Technology Systems-Full Time-DHTS-Durham
Company Name:-
Duke Careers
Job Location:-
Durham, NC 27710
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionPrimary Role
Reporting to the Senior Director of Enterprise Analytics in the Analytics Center of Excellence (ACE) in Duke Health Technology Solutions (DHTS), this senior level manager has the responsibility for the design and delivery of innovative data engineering solutions across the Duke Enterprise.
This position leads a dedicated team of data engineers, data modelers, and application developers who are focused on delivering new organizational capabilities by modernizing current data integration processes and organizational access to data.
As a member of the DHTS-ACE leadership team, this role will contribute to strategic decision making as pertains to supporting the data and analytical needs of both the Duke University School of Medicine as well as the Duke University Health System.
Partnering with the Director of Data Engineering and Operations, the incumbent will be charged with architecting appropriate solutions to deliver on that strategy with innovative and modern data processing techniques.
Common Essential Tasks/Responsibilities
Participate in key technical and design discussions as a hands-on manager to help drive innovative solutions Build cross-functional relationships with data scientists, software engineers, and database developers to understand data needs and deliver on those needs.
Manage development of data resources and support new product launches Maintain current technical knowledge and expertise in the functional areas under the purview of this position, towards securing the ongoing professional regard of data scientists distributed throughout the organization Identify, evaluate, and implement cutting edge data pipelines and frameworks required to provide requested capabilities to integrate internal and external data sources and APIs.
Lead the design, implementation, and continuous delivery of data pipelines using modern toolsets supporting data processing initiatives across batch and streaming datasets.
Provide architectural support by building proofs of concept and prototypes, iteratively as appropriate, recognizing the importance of failing fast in order to speed delivery of solutions into the hands of end users.
Work closely with pr
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