job summary:
Randstad is partnering with a premier national transportation leader to find a Senior Data Product & Governance Specialist based in Washington, DC. In this pivotal role, you will bridge the gap between technical data engineering and enterprise strategy by developing, validating, and maintaining the analytical assets that power a massive information ecosystem. You will act as a guardian of data integrity, implementing sophisticated governance frameworks and metadata standards to ensure that data products-ranging from datasets to AI models-are reliable, explainable, and ethically sound. This is a high-impact opportunity for a professional who thrives on transforming complex data into a trusted corporate asset while navigating the evolving landscape of AI and automated decision-making.
location: Washington, Washington, D.C.
job type: Contract
salary: $60 - 65 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
Asset Development: Design, build, and operationalize high-quality data products, including datasets, metrics, and models that support enterprise-wide decision-making.
Governance & Ethics: Define and apply data and AI governance policies, ensuring all outputs align with compliance, risk management, and ethical standards.
Metadata Management: Configure and manage enterprise metadata and catalog platforms, maintaining automated lineage and consistent glossary alignment across cloud and ERP environments.
Quality Assurance: Establish and monitor rigorous data quality standards, access controls, and model risk oversight to ensure "trusted" analytical outputs.
Transparency & Lineage: Document and maintain comprehensive metadata and interpretability information to strengthen data transparency for stakeholders.
Cross-Functional Collaboration: Partner with agile teams to integrate analytical assets into operational workflows and continuously improve data integration processes.
qualifications:
Education: Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or a related technical field.
Professional Experience: 2-4 years of experience in data, analytics, or AI-related roles, with a specific focus on governance, stewardship, or metadata management.
Technical Proficiency: Proven ability to design and validate analytical logic and translate complex business terminology into structured metadata standards.
Governance Knowledge: Strong understanding of data/AI governance principles, including stewardship models, quality thresholds, and responsible data use.
Strategic Thinking: Exceptional analytical and diagnostic skills with the ability to turn findings into actionable process improvements.
Agile Expertise: Experience contributing to iterative product delivery within an agile framework.
AI Familiarity (Preferred): Knowledge of AI ethics, prompt development, or model validation concepts is highly desirable.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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