Data Manager, Park I&M Data Systems

SC Works Trident; Northern (KY); Hybrid; USD 44,000 - 45,000; Full time

Job summary

NEW Solutions supports the National Park Service and Great Smoky Mountains National Park in building robust data systems for inventory and monitoring. The Data Manager role focuses on coordinating data, programming, GIS, and database management to turn raw data into actionable insights for park management.

The incumbent collaborates with park staff, scientists, and GIS specialists to ensure data integrity, security, and accessibility across national datasets.

Qualifications

• BA/BS Degree required.
• Knowledge of laws, regulations and NPS policies for natural resources management.
• Experience with Windows, MS Word, MS Excel, MS Access, MS PowerPoint, MS Teams, MS Outlook, MS SharePoint, Adobe Acrobat, Power BI and ESRI products.
• Physical requirements: desk work with occasional lifting; accommodations available.

Responsibilities

• Develop and maintain data systems for the Inventory & Monitoring program.
• Plan and support application programs aligning with I&M guidelines.
• Apply programming, database management and GIS to park needs.
• Design and manage infrastructure for data analysis and dissemination.
• Coordinate with park staff and scientists on data management and metadata.
• Produce project deliverables and track progress; stay current on tech trends.

Skills

Windows

MS Word

MS Excel

MS Access

MS PowerPoint

MS Teams

MS Outlook

MS SharePoint

Adobe Acrobat

Power BI

ESRI products

Education

BA/BS Degree

Tools

ESRI GIS software

Job description

NEW Solutions supports the National Park Service and Great Smoky Mountains National Park in building robust data systems for inventory and monitoring. The Data Manager role focuses on coordinating data, programming, GIS, and database management to turn raw data into actionable insights for park management.

The incumbent collaborates with park staff, scientists, and GIS specialists to ensure data integrity, security, and accessibility across national datasets.