Sr Data & AI Governance Specialist Washington DC, Phil. PA, Wil. DE or Chgo. IL

Your success is a train ride away!

As we move America’s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees.

Are you ready to join our team?

Our values of ‘Do the Right Thing, Excel Together and Put Customers First’ are at the heart of what matters most to us, and our Core Capabilities, ‘Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security’ are what every employee needs to know and do to be most impactful  living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future.

Onsite in Philadelphia PA, Washington DC, Wilmington DE or Chicago IL.

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.

• 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

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
• Experience:
  
  2–4 years of experience in data, analytics, or AI-related work with governance, or metadata-related focus. (including academic or project-based experience).

• 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.

• 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,…