SENIOR MANAGER, IT, DATA ANALYTICS DCRI

School of Medicine

Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

 

Position Summary

The Sr. Manager, IT - Data Analytics is responsible for providing data analytics subject matter expertise and leadership to the DCRI.  This role will require that they work closely with key stakeholders, collect requirements, and produce deliverables in the form of business intelligence reports, dashboards, or raw datasets that will be used to drive business decisions.  This manager will develop data visualization and insights service offerings, demonstrate thought leadership, manage complex projects, build client relationships, recruit and mentor staff and collaborate with cross-functional teams to develop new IT services.  The role will help to achieve the growth and use of data analytics and insights at the DCRI, meet project objectives, leverage AI and new technologies, and maintain best practices.

 

As a member of the DCRI management team, this manager will join IT professionals with a broad knowledge of the healthcare industry including regulatory reporting and compliance. The manager will be part of a collaborative IT service delivery team intent on providing exceptional client service to meet overall DCRI objectives.

 

 

** NOTE: This position may have an opportunity to work remotely.  All Duke University and Duke Health remote workers must reside in one of the following states or districts:  Arizona; California; Florida; Georgia; Hawaii; Illinois; Maryland; Massachusetts; Montana; New Jersey; New York; North Carolina; Pennsylvania; South Carolina; Tennessee; Texas; Virginia or Washington, DC., Washington (State), Connecticut, Indiana, Michigan, Maine, Ohio and New Hampshire.

 

Position Responsibilities

• Provides strategic leadership, guidance and direction for data analytics and insights capabilities for the DCRI; this typically includes data engineering/data pipelines, data modeling and data visualizations using Azure DevOps or GitHub.
• Lead efforts in data mining and analytics in support of data analytic efforts and projects for the organization; continually look for opportunities to diversify and draw from multiple disparate data sources, both structured and unstructured
• Recommend and apply methodologies and data analytic techniques appropriate to address business issues; Democratize data by promoting self-service reports/visualizations.
• Identify and apply data analytics, AI tools and Machine Learning (ML) techniques and models to perform data analyses
• Work in a consultative capacity to understand information needs, establish timelines, and establish deliverables
• Research, collect and analyze internal business data to inform leadership and key stakeholders in driving business decisions
• Analyze findings; identify patterns and formulate insights using various visualization tools for dissemination to business decision-makers
• Prepare and develop reports, presentations and other documents for communicating findings to business owners, collaborators and management.
• Balance multiple project timeliness; maintain overall quality across multiple projects and consultations; complete ad hoc analytical requests within agreed upon time
• Work with internal stakeholders to enhance data analytics project outcomes.