Data & AI Enablement Lead - Remote, Washington DC, Philadelphia, Chicago, Wilmington

Data & AI Enablement Lead

Location: Washington, DC, Philadelphia, Chicago, Wilmington

The Lead Data & AI Advocate drives the enterprise enablement strategy that ensures Amtrak's data, AI, and automation capabilities are effectively adopted, responsibly used, and consistently applied across business domains. Leads at this level define adoption frameworks, guide cross-team enablement efforts, and ensure that all major data and AI initiatives include high-quality onboarding materials, reusable templates, and technical accelerators. They mentor other Advocates, collaborate with engineers and product teams to embed enablement standards into delivery, and measure enterprise-wide adoption to continuously improve literacy, usability, and impact.

Essential Functions:

• Define and implement enterprise enablement frameworks for data, AI, and analytics platforms, ensuring consistent user experience, standards, and adoption patterns across domains.
• Lead the development and refinement of reusable enablement assets such as starter kits (including reference code), templates, accelerators, and onboarding materials that scale adoption across Amtrak.
• Coordinate enablement initiatives across business units, ensuring alignment between platform capability delivery, user needs, and enterprise governance.
• Partner with product, engineering, and architecture teams to embed enablement standards into delivery workflows and platform release cycles.
• Establish metrics and dashboards to measure adoption progress, content utilization, and overall enablement impact.
• Mentor and coach junior and senior Advocates, ensuring quality, consistency, and alignment to enterprise goals.
• Serve as a primary liaison between Digital Technology and business leaders to promote literacy, responsible use, and confidence in data and AI tools.
• Stay current with emerging trends in AI enablement, developer advocacy, and digital adoption, applying best practices to Amtrak's ecosystem.

Minimum Qualifications:

• Education: Bachelor's degree in Data Science, Computer Science, Information Systems, or related field.
• Experience: 6–8 years of experience in data, analytics, AI, or enablement disciplines, including leadership of multi-domain or enterprise-scale initiatives.
• Licenses/Certifications: None required.

Preferred Qualifications:

• Experience designing enterprise adoption frameworks or enablement operating models.
• Background in user advocacy, community management, or technical evangelism.
• Familiarity with platform telemetry, usage analytics, or content performance tracking.
• Experience presenting at internal forums or external industry events.

Required Knowledge, Skills and Abilities:

• Advanced technical proficiency across data, AI, visualization, and automation platforms.
• Proven success defining or managing adoption frameworks, enablement programs, or technical literacy initiatives.
• Strong ability to build or review reusable starter kits, templates, and reference code.
• Deep understanding of data and AI value chains, from ingestion to insight to adoption.
• Excellent facilitation and stakeholder management skills, with the ability to influence across business and technology functions.
• Skilled at measuring adoption success and translating findings into iterative improvements.
• Experience leading teams or projects in an agile or product-based environment.