Sr Data & AI Governance Specialist - 90405358 - 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 at Amtrak. By 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.

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

Job Summary

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.

Essential Functions

• 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

Minimum Qualifications

• 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).

Preferred Qualifications

• 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.

Required Knowledge, Skills and Abilities

• 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.

The salary/hourly range is $86,500.00 – $111,996.00. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee’s assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee’s base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position and/or long-term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here.

Requisition ID:166083

Work Arrangement:06-Onsite 4/5 Days Click here for more information about work arrangements at Amtrak.
Relocation Offered:No
Travel Requirements:Up to 25%

You power our progress through your performance.

We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions.

Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen.

Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law.

In accordance with DOT regulations (49 CFR § 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions.

In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. §1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses.

Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience.

Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.