Data Management Lead @ Leidos | Jobright.ai
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Leidos · 2 days ago

Data Management Lead

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Responsibilities

Develop presentations for leadership to share findings and assist in making actionable recommendations.
Present on projects within team or beyond to boost understanding, visibility, and business impact
Perform and support data management tasks that deliver a complete view of Military Health System (MHS) health care data throughout the enterprise to the analytic community and MHS leadership.
Lead data science projects. Take ownership of whole lifecycle of projects. Communicate with project managers, data science and engineering teams to align progress and collaborate on system integrations.
Help establish the team’s technical stack (centered on Python, Cloud, ML/DL, Kubernetes); understand COTS product configurations, data and pipeline systems
Create a fluid, end-to-end vision for how data will flow through DHMSM
Build a unified data infrastructure and deploy atomic patterns, which address the mechanisms for accessing, processing, transforming and consuming data, giving users a way to address data requirements and scope
Identify and evaluate current data management technologies
Research new opportunities for data acquisition
Maintain a corporate repository of all data management related artifacts and procedures
Implement measures to ensure data accuracy and accessibility
Develop solutions to data analytics problem and issues that require depth of technical knowledge and understanding of impact on the end product.
Ensure data integrity is maintained by completing routine data quality analysis.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ManagementData ModelingData WarehousingPythonMachine LearningData ScienceAgile MethodologiesData Quality AnalysisData AcquisitionMicrosoft ExcelMicrosoft WordMicrosoft PowerPointKubernetesCernerEPICDMBOKPopulation Health ToolsCOTS ProductsCross-functional Collaboration

Required

BS degree and 12 – 15 years of prior relevant experience or Masters with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domain.
US Citizen, with the ability to obtain an ADP IT-II Public Trust based on the minimum of a Tier 3 investigation. Per contract requirements.
Strong content knowledge in Data Modeling, Data Management, Data Marts, and Data Warehouses
Knowledge of querying and automated processes to extract, model, integrate, and evaluate complex datasets and business problems for practical application.
Ability to thrive in a fast paced cross-functional environment.
Knowledge of Data Science principles and toolsets (e.g. Python or R) and related development environments
Proficient in Microsoft Office products, especially Excel, Word, and PowerPoint.

Preferred

Medical Data systems experience and understanding (Cerner, EPIC or other comparable products)
Experience working with DoD or Federal medical data (DMIX would be a plus)
Experience with Population Health Tools
Experience with applying principles found in the Data Management Body of Knowledge (DMBOK)

Company

Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Funding

Current Stage
Public Company
Total Funding
unknown
2013-09-17IPO· nyse:LDOS

Leadership Team

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Kirk Smedley
Chief Technology Officer, Spatial Solutions
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Amy Smith
Senior Vice President, Government Affairs
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