Data Standards Support
Overview
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.
Responsibilities
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.
Required Qualifications
- 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.
Desired Qualifications
- Familiarity with structured data standards and languages (e.g., XML, JSON, XSLT, UML).
- Understanding of metadata models, schema development, and data integration principles.