Data Steward (Mid) Job#491

As a Data Steward (Mid) at our company, you will execute the daily management of geospatial content, focusing on SOM, CV, and mission-specific data. You'll be responsible for identifying and addressing data gaps, conducting quality assurance and control, and ensuring all data aligns with established standards. Additionally, managing the generation, approval, and population of data in our geospatial databases is key to satisfying customer requirements.

To excel as a Data Steward (Mid) with us, candidates should possess strong data management skills, experience in quality control, and an understanding of geospatial databases. Familiarity with metadata standards, quality assurance processes, and the ability to document and assess compliance with data concepts is also important. An analytical mindset and excellent communication skills are crucial for this role.

Quality control is a cornerstone of the Data Steward (Mid) role in our company. It involves regular monitoring of geospatial content to ensure compliance with existing data standards and specifications. By conducting quality assurance checks, you help maintain the integrity and reliability of the data, which is essential for meeting customer needs and supporting mission requirements.

In your role as a Data Steward (Mid), you will play a critical role in publishing geospatial content. This entails generating data services from GIS systems and ensuring all published data is accurate, compliant, and useful for various applications. Your work will ensure that essential geospatial content is readily available to users who depend on it for decision-making.

As a Data Steward (Mid), you will be working within GIS environments and utilizing tools related to data management and geospatial analysis. Experience with databases specific to the NGA's and AP LOB's standards will be beneficial. Familiarity with metadata management tools and data dictionaries will also be part of your daily responsibilities.

When answering this question, provide specific examples of your previous roles involving geospatial data management. Highlight the types of datasets you’ve worked with and the tools you’ve used, emphasizing how your efforts improved data quality or contributed to successful projects.

A strong response should detail the processes you utilize for ensuring data compliance, such as performing regular quality checks, documenting discrepancies, and implementing corrective actions. Discuss any standards or frameworks you’ve worked with that are relevant to the position.

Describe specific quality control methods you’ve applied in your past roles. Emphasize your experience with systematic checks, audits, or using automated tools that enhance data integrity. Share an example where your QC efforts made a significant impact.

In your response, illustrate your approach to creating and maintaining data dictionaries. Discuss the importance of consistency and accuracy in data definitions, and how a well-maintained data dictionary supports both data users and governance efforts.

Your answer should reflect a systematic approach to documentation. Mention how you identify gaps in existing vocabularies and the processes you follow to document new data concepts effectively, ensuring they align with overall data governance policies.

Share a specific story where you encountered a non-compliant dataset, detailing the steps you took to address the issue. Highlight your interaction with team members and any best practices you implemented to prevent similar occurrences in the future.

Explain your methods for task prioritization, such as using project management tools or frameworks. Talk about how you assess urgency and importance and ensure that critical data management tasks align with overall project goals.

List the specific tools and technologies you've used in data stewardship, particularly those relevant to GIS and geospatial databases. Discuss any certifications or training you've completed that enhance your proficiency in these areas.

Highlight your ability to simplify technical jargon into understandable terms when explaining data concepts to non-technical stakeholders. Share examples of communication strategies you’ve used to effectively convey essential information.

In your response, discuss your passion for data management and what interests you about geospatial data. Share any personal experiences or projects that have inspired you to pursue this career path and your motivation to contribute to impactful projects.