Senior Metadata & Data Products Specialist - 90405354 - Washington DC, Phil. PA, Wil. DE or Chicago

Amtrak•Wilmington, DE

13d•Onsite

About The Position

The Data & AI Specialist independently develops, validates, and maintains the data and analytical assets that make Amtrak’s information ecosystem accurate, trusted, and valuable. Specialists at this level apply data and insight frameworks to create, test, and improve models, metrics, and governance components that support decision-making and automation. This role combines technical proficiency with analytical and governance awareness, ensuring that Amtrak’s data and analytical assets are explainable, reliable, and aligned to enterprise standards.

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
2–4 years of experience in data, analytics, or AI-related work with governance, or metadata-related focus. (including academic or project-based experience).
Working knowledge of data and insight frameworks for ensuring reliability, consistency, and explainability.
Ability to design and validate analytical or governance logic that produces actionable, trusted information.
Ability to translate business terminology into structured metadata standards and maintain consistency across domains and platforms.
Understanding of data and AI governance principles, stewardship models, quality standards, and responsible data use.
Strong analytical and diagnostic skills with an ability to translate findings into improvements.
Ability to design and operationalize governance controls including access policies, quality thresholds, and model risk oversight across enterprise platforms.
Effective communication and collaboration skills in cross-functional agile teams.
Accountability for delivery, accuracy, and documentation of data and analytical outputs.

Nice To Haves

Experience developing or maintaining data models, metrics, or quality rules.
Familiarity with metadata management, lineage, or explainability frameworks.
Experience with AI ethics, prompt development, or model validation concepts.
Experience contributing to agile, iterative product or analytics delivery.

Responsibilities

Independently design, build, and maintain data and analytical assets—such as datasets, metrics, models, or rules—that support enterprise data and insight initiatives.
Evaluate the accuracy, completeness, and explainability of analytical deliverables, implementing improvements where needed.
Document, maintain, and operationalize enterprise metadata, lineage, and interpretability information to strengthen data transparency and usability.
Define and apply data and AI governance frameworks to validate outputs, ensuring alignment with governance, compliance, risk, and ethical standards.
Collaborate across teams to improve data processes, quality, and integration of analytical assets into operational workflows.
Configure and manage enterprise metadata and catalog platforms, ensuring consistent glossary alignment, data classification, and automated lineage across modern cloud and ERP data environments.
Develop and maintain data and AI governance policies, stewardship models, and decision-rights frameworks aligned to enterprise standards.
Establish and monitor data quality standards, access controls, and model risk controls to ensure trusted and compliant analytical and AI assets