Enterprise Learning Innovation & Delivery Advisor

AMA CONSULTING; Washington (District of Columbia); On-site; USD 150,000 - 230,000; Full time

Job summary

AMA Consulting, LLC, a Maryland-based firm serving federal agencies, seeks an Enterprise Learning Innovation & Delivery Advisor. The Senior role connects learning tech, AI, and modernization strategy, translating workforce needs into technical requirements for pilots, integrations, and acquisitions.

Responsibilities include advising on LMS/LRS architectures, interoperability, and data integration while addressing 508 accessibility, security, and governance in federal environments.

Qualifications

• 15+ years of experience in enterprise learning technology or related fields.
• Experience designing, implementing, advising on, or governing LMS/LXP/LRS environments.
• Experience with AI/GenAI strategy, governance, assurance, risk management, or responsible adoption.
• Translating business and workforce requirements into technical requirements and solutions.
• Knowledge of learning interoperability standards and enterprise integration concepts.
• Experience supporting large-scale system integration or modernization initiatives.
• Knowledge of accessibility and Section 508 considerations for digital learning tech.
• Demonstrated ability to provide executive-level technology advisory support.

Responsibilities

• Advise on enterprise learning technology strategy and architecture, including integration.
• Assess interoperability requirements and design approaches for learning systems.
• Provide guidance on learning technology standards and data architecture.
• Identify AI use cases and governance strategies for federal learning environments.
• Develop pilot strategies and roadmaps linking innovation to mission outcomes.
• Translate stakeholder needs into clear technical and functional requirements.
• Support acquisition planning, solution evaluation, and evidence-based recommendations.
• Ensure accessibility, privacy, and security considerations in proposed solutions.

Skills

Enterprise learning tech

Digital transformation

Enterprise architecture

AI/GenAI strategy

Executive advisory

Interoperability

System integration

Accessibility (Section 508)

Tools

LMS/LRS environments

SCORM/xAPI/cmi5

Job description

AMA Consulting, LLC, a Maryland-based Limited Liability Company, provides a range of analytical, acquisition, and business management support services to federal agencies. AMA Consulting is an Equal Opportunity/Affirmative Action Employer. Join a dynamic team of forward-thinking professionals in our growing company.

Enterprise Learning Innovation & Delivery Advisor

The Enterprise Learning Innovation & Delivery Advisor serves as a senior, vendor-neutral advisor on the future of Federal enterprise learning. This position connects emerging technology, artificial intelligence, enterprise learning architecture, workforce requirements, interoperability, data, and modernization strategy. The Advisor translates business and workforce needs into technical requirements and provides independent analysis and recommendations to support technology decisions, pilots, integrations, acquisition activities, and continuous modernization.

Key responsibilities include:

1. Enterprise Learning Technology & Architecture:
   1. Advise on enterprise learning technology strategy, including LMS/LRS environments, CoreHCM and agency-system integrations, and learning-data architecture.
   2. Assess enterprise architectures, solution designs, interoperability requirements, and integration approaches.
   3. Provide guidance on learning technology standards and interoperability, including SCORM, xAPI, and cmi5.
   4. Support skills, competency, credential, and learning-data integration across enterprise systems.
2. AI, Innovation & Modernization:
   1. Identify and assess AI and emerging-technology use cases for enterprise learning and workforce development.
   2. Develop AI governance, risk, assurance, human-oversight, and evaluation recommendations appropriate for Federal environments.
   3. Conduct technology-market assessments, alternatives analyses, design reviews, and modernization planning.
   4. Develop pilot strategies and roadmaps that connect innovation opportunities to measurable workforce and mission outcomes.
3. Requirements, Evaluation & Advisory Support:
   1. Translate stakeholder and business needs into clear technical and functional requirements.
   2. Support acquisition planning, solution evaluation, vendor-neutral assessments, and evidence-based recommendations.
   3. Evaluate accessibility, Section 508, security, privacy, data stewardship, and user-centered considerations within proposed solutions.
   4. Communicate effectively with executive leaders, enterprise architects, AI/technology specialists, learning professionals, and business stakeholders.

Required qualifications to be successful in this role:

• 15+ years of experience in enterprise learning technology, digital transformation, enterprise architecture, or a closely related field.
• Demonstrated experience designing, implementing, advising on, or governing enterprise LMS, LXP, LRS, or comparable learning technology environments.
• Experience with AI/GenAI strategy, governance, assurance, risk management, or responsible adoption.
• Experience translating business and workforce requirements into technical requirements and solution recommendations.
• Knowledge of learning interoperability standards and enterprise integration concepts.
• Experience supporting large-scale system integration, technology modernization, or enterprise architecture initiatives.
• Knowledge of accessibility and Section 508 considerations for digital and learning technologies.
• Demonstrated ability to provide executive-level technology advisory support in complex organizations.

Preferred skills include:

• Federal enterprise architecture, Federal learning technology, or government-wide modernization experience.
• Experience with CoreHCM or comparable human-capital technology integrations.
• Experience supporting technology acquisition, market research, alternatives analysis, pilots, and vendor-neutral solution evaluations.