ADDITIONAL INFORMATION: Data Stewards organize data properties and relationships according to a system of categories. They create models or simulations of the intersection of data categories to enable data decisions and determine potential risk and risk mitigation. They make decisions about the quality and availability of moderately complex data. As a Data Steward it is desirable to have awareness of data governance and how its policies and practices direct a data stewards data-related activities and responsibilities. Other duties may include: * Develop an understanding of customer requirements; recommend specific data sources and types to satisfy mission needs. * Manage data projects to address challenges and priorities. * Perform data conditioning techniques and processes for data management purposes. * Synchronize data from numerous sources; develop data taxonomy to support integration into intelligence products. * Nominate and implement data standards and ontology; and actively participates in the development of standards through working groups. * Create and maintain metadata to quality specifications, and ensure data documentation is developed and maintained. * Provide oversight during development of data for visualization/analytic projects and develop schemas to ensure the data needs and requirements are documented. * Ensure service interoperability and works to develop taxonomies where there are deficiencies in data standards. * Determine requirements to collect data and identify existing data stores, disparate data, or data collection parameters, and ensures the data collected are consistent with data models to dissolve any data silos. * Research data issues and inquiries and implements process for data transformations, to resolve data issues, collaboration on system changes, and the integrity and quality of data personally created/updated. * Conduct data validation and reconciliation processes following completion of data movement, and enforces processes for data quality issue resolution * Ensure versions of data are maintained along with the history of changes, so that data content and changes can be audited. * Conduct QA/QC checks on structured observation data to reduce inconsistencies * Apply data science principles to query and associate GIS features (points, lines & polygons) and related non-spatial data to improve upon spatial/GIS features, attribution and dataset interoperability. * Employ parallel processing and GPUs and/or cloud computing to increase operational efficiencies of GIS data query and use. * Understand data standards & extraction specifications along with comprehension of how analysts currently utilize data and how they might expect to use content in the future. * Interrogate, prepare data to deliver results and/or deploy automated processes using: o Python, o R o JavaScript * Employ GIS software for data analysis and data management using: o ArcPro o QGIS * Communicate technically both orally and in writing and to constructively resolve data-related issues by leading and/or working as a member of a team. * Evaluate and utilize data services and applications to institute improvements to data content and structure, metadata, data models, data quality, accessibility and dissemination. * Ensure established metadata policies and processes are adhered to for increased integration, access, efficiency, and discoverability. * Build data schemas and/or data profiles to enable multiple mission use of data. * Apply knowledge of databases, GIS data file formats, commercial imagery data, digital image processing techniques, and GIS software.