Data Standards Support

WiSC Enterprises is a mission-focused, veteran-owned small business providing expert support within the Defense and Intelligence Community. We specialize in delivering cleared professionals to high-impact programs, offering agile staffing solutions and operational excellence across a wide range of mission-critical areas.

At WiSC, we prioritize integrity, collaboration, and continuous growth—ensuring our employees are empowered to contribute meaningfully, advance professionally, and thrive personally. Join us and become part of a company where your impact matters.

• Support the application of data and metadata standards aligned with DoD and IC requirements and acquisition processes.

• Assist with the implementation and testing of data conformance and interoperability standards across enterprise systems.

• Utilize common data modeling and transformation techniques to support structured and semi-structured data formats.

• Contribute to the creation, validation, and maintenance of schema definitions and modeling frameworks.

• Collaborate with interdisciplinary teams to promote the adoption of enterprise-wide data standards.

• Engage with external standards organizations and stakeholders to align implementation efforts with evolving guidance.

• Participate in documentation, reporting, and quality assurance activities related to data governance and integration.

• Help ensure the proper alignment of data standards across system lifecycles, including discovery, retrieval, and visualization layers.

• Master’s degree in Engineering Management, or a related technical field (or equivalent experience).
• Demonstrated specialized experience with DoD and/or IC requirements and acquisition processes.
• Experience working within or supporting DoD and/or Intelligence Community programs.
• Strong communication and collaboration skills, with the ability to contribute to cross-functional teams.
• Active TS/SCI clearance with polygraph eligibility required.

• Familiarity with structured data standards and languages (e.g., XML, JSON, XSLT, UML).
• Understanding of metadata models, schema development, and data integration principles.