Data Governance & Products Specialist

Randstad is seeking a detail-oriented Data Governance & Products Specialist for a high-impact role with a major transportation and logistics leader in Washington, D.C. This position serves as a critical bridge between technical data engineering and business strategy, where you will independently design, validate, and maintain the high-quality data products that power the organization's decision-making. You will be responsible for the health of the information ecosystem-ensuring that datasets, metrics, and models are accurate, transparent, and fully aligned with enterprise governance standards. If you are a proactive professional who thrives in an agile environment and enjoys the intersection of metadata management, cloud data environments, and ethical AI frameworks, this is an opportunity to help shape the future of American infrastructure.

• Asset Development: Independently design, build, and operationalize data products, including datasets, metrics, and quality rules that support enterprise-wide initiatives.
• Metadata Management: Configure and manage enterprise data catalogs to ensure consistent glossary alignment, data classification, and automated lineage across cloud and ERP environments.
• Validation & Quality: Evaluate the accuracy and explainability of analytical deliverables, implementing continuous improvements to ensure data remains trusted and reliable.
• Governance & Compliance: Apply insight frameworks to ensure all data outputs adhere to strict governance, compliance, and ethical standards.
• Cross-Functional Collaboration: Partner with agile teams to integrate analytical assets into operational workflows and translate complex business terminology into structured metadata standards.
• Documentation: Maintain comprehensive documentation for lineage and interpretability to strengthen data transparency and usability for stakeholders.

• Education: Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or a related technical field.
• Experience: 2 4 years of professional experience in data analytics, data governance, or AI-related roles (academic projects will be considered).
• Technical Skills: Working knowledge of metadata management, data modeling, and the ability to design governance logic for actionable information.
• Analytical Ability: Strong diagnostic skills with the ability to translate complex findings into tangible process improvements.
• Communication: Excellent collaboration skills with a proven track record of working effectively within cross-functional, agile environments.
• Preferred Assets: Familiarity with AI ethics, prompt development, model validation concepts, or experience with modern cloud data platforms.

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Background Check : No

Drug Screen : No