Summary Data Stewards implement comprehensive data governance frameworks and apply data management principles to review, approve, and manage data supporting diverse customer requirements for geospatial or organizational data. They facilitate data production and storage efficiency by aligning organizational processes with governance requirements and implementing automated workflow technologies. They employ Duties ADDITIONAL INFORMATION: This position focuses on the daily production efforts for the NGA CADRG/ECRG team, creating RPF and EPF data format for use as base maps in NSG/ASG systems. Candidate will work closely with Team Lead/Product Manager to identify production priorities, complete production assignments, attend/coordinate meetings with partners, database administrators, International Affairs, Defense Logistics Agency, and other mission partners and working groups. Candidate will brief the production efforts of the CADRG/ECRG team as necessary and provide production guidance to the contractor team. Troubleshooting and help desk activities will be required, as is reporting/documentation of such efforts. Qualifications MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement: Demonstrated experience developing data set processes for data discovery, modeling, mining, and/or production. Demonstrated experience analyzing data, identifying inconsistencies, and/or cleaning data to a recognized standard. Demonstrated experience documenting, testing and/or maintaining data within databases for quality assurance. Demonstrated experience with Compressed Arc Digitized Raster Graphic (CADRG) and Enhanced Compressed Raster Graphic (ECRG) data to include RPF and EPF data formats and their specifications and standards. Demonstrated experience with CADRG/ECRG creation software such as Common Mapping Production System or Automated Raster Modernization. Demonstrated experience with ESRI ArcGIS or other robust geospatial data manipulation suite of software. EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Information Systems, Data Management, Data Engineering, Data Science, Computer Science, Software Engineering, Statistics, Mathematics, Physics, Cartography, Geospatial Sciences, Physical Sciences, or bachelor's degree with 30 semester hours in a combination of Mathematics, Statistics, and Computer Science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics. -OR- B. Combination of Education and Experience: A minimum of 30 semester (45 quarter) hours of coursework in any area listed in option A. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics, plus experience that involves management of data within databases, or in a related area that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. -OR- C. Experience: A minimum of 4 years of experience that involves management of databases or in a related field that demonstrates the ability to successfully perform the duties associated with this work. PHYSICAL REQUIREMENT: Distinguish principal colors and shades/hues of principal colors; Near visual acuity of 20/60 or better with or without corrective lenses DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: Demonstrated experience communicating data findings, analyses, or terms to a non-technical audience. Experience with Photoshop or image editing software experience Experience with one or more computing languages and/or tools like Python Familiarity with AGILE development practices Experience supporting the integration of super intelligence (SI) tools into operational workflows or systems.