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Ardent

Your "ALL IN" Location Intelligence | Digital Transformation | Data Science & Analytics experts

Geospatial Scientist – Data Collection, Quality

GISGISFull TimeRemoteLeadTeam 51-200Since 2008H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

38 days ago

Salary

0

Seniority

Lead

Postgraduate Degree7 yrs expEnglish

Job Description

Geospatial Scientist – Data Collection, Quality

Ardent

• Lead the development and refinement of methodologies for geospatial data collection, acquisition, and maintenance ensuring alignment with mission needs. • Manage data intake, prioritize data needs based on use cases from DHS components and Mission Partners, and ensure quality control throughout acquisition and delivery processes. • Maintain and update Standard Operating Procedures (SOPs) related to data acquisition, refresh, quality assurance, and data publishing. • Oversee budget management for data acquisition to secure high-priority and high-value data products. • Define and enforce requirements for geospatial data including accuracy, coverage, resolution, formats, licensing, update frequency, and system compatibility. • Maintain comprehensive lists of data providers and datasets; identify and engage high-quality geospatial data providers. • Utilize professional networks and government guidance to identify potential new data sources and providers. • Manage procurement or production activities to ensure timely delivery of high-quality, licensed geospatial data. • Maintain ongoing communication with data providers regarding data use, dissemination, security, quality, and acceptance criteria. • Negotiate licensing agreements and purchasing options to achieve best value while ensuring compliance with usage permissions. • Provide technical support and oversight to ensure data products meet acceptance criteria and mission requirements. • Facilitate technical demonstrations and presentations of geospatial data and analyses for stakeholders and Mission Partners. • Support integration of data products into government systems and ensure seamless coordination with other program activities. • Lead QA/QC efforts, including data review, validation, and application of standardized checklists to ensure accuracy and consistency. • Manage feedback loops with data users and providers to identify and implement content improvements and resolve data quality issues. • Develop and maintain geospatial metadata, ensuring completeness, consistency, and usability for downstream applications. • Automate data processing workflows where feasible, maintaining documentation and tools for reproducible data review. • Oversee data registration, cataloging, publication, hosting, and federation within government geospatial platforms. • Ensure compliance with applicable standards and regulations (e.g., FGDC, ISO) and apply best practices in geospatial data lifecycle management. • Monitor and analyze performance metrics and user feedback to continuously improve data acquisition and management processes. • Maintain documentation of all processes, data integration plans, and QA/QC plans to support program transparency and continuous improvement. • Inform government stakeholders promptly of any issues impacting cost, schedule, or performance.

Job Requirements

  • 7+ years of experience leading geospatial data acquisition and quality management activities in complex government or commercial projects.
  • Expertise in geospatial sciences including cartography, GIS, data management, and geospatial infrastructure.
  • Demonstrated ability to manage vendor/provider relationships and negotiate data licensing and acquisition contracts.
  • Experience developing and applying QA/QC procedures and standards to geospatial datasets.
  • Strong analytical, communication, and presentation skills to engage with technical teams and mission partners.
  • Experience with scripting, automation, and geospatial data processing tools.
  • Familiarity with geospatial data standards, metadata management, and federal data policies.
  • Proven track record managing large-scale data projects with multiple stakeholders and distributed teams.

Benefits

  • highly competitive benefits
  • professional development opportunities
  • exceptional culture that embraces flexibility, innovation, collaboration, and career growth

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