AI Adoption & Workforce Enablement Lead

DecisionPoint seeks an AI Adoption & Workforce Enablement
Lead to develop and deliver workforce training, practical exercises, proficiency assessments, and adoption measurement supporting the USMEPCOM ENLIST program.

This senior-level position will help personnel apply approved AI capabilities to their daily work and interpret AI-assisted results appropriately. The lead will translate mission workflows and technical capabilities into practical learning objectives, exercises, user guidance, and measurable demonstrations of proficiency.

The AI Adoption & Workforce Enablement Lead will collaborate with Government mission owners, AI implementation teams, data and reporting specialists, training personnel, and end users. The role will assess learning needs, coordinate training with capability releases, identify adoption barriers, and measure whether personnel can use AI effectively within approved workflows.

This position is remote, with Chicago-area candidates preferred.

Note:

By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid.

The AI Adoption & Workforce Enablement Lead will:

• Lead workforce AI training and enablement activities aligned with Government priorities and operational needs.

• Assess workforce learning needs, current proficiency, role-specific requirements, and barriers to AI adoption.

• Develop learning objectives and training plans tied to approved AI capabilities and mission workflows.

• Create practical exercises, demonstrations, scenarios, job aids, user guides, and reusable learning materials.

• Deliver instructor-led sessions, virtual workshops, demonstrations, coaching, and office hours.

• Develop proficiency checks that assess whether personnel can perform relevant tasks using approved AI capabilities.

• Establish assessment criteria, scoring guidance, completion measures, and targeted follow-up training.

• Teach users how to interpret AI-assisted results, review supporting sources, recognize limitations, and identify outputs requiring verification.

• Develop guidance on human judgment, review checkpoints, escalation paths, and appropriate use of AI-generated information.

• Prepare exercises involving approved knowledge assistants, retrieval workflows, analytical tools, dashboards, and self-service reporting.

• Coordinate with technical teams to ensure training materials accurately reflect released functionality and approved operating procedures.

• Align training schedules and communications with pilots, releases, workflow changes, and operational priorities.

• Define adoption measures covering participation, proficiency, recurring use, user confidence, workflow integration, and operational outcomes.

• Establish baselines and track changes in workforce capability and adoption over time.

• Analyze assessment results, usage information, surveys, and user feedback to identify capability gaps and improvement opportunities.

• Distinguish training completion from demonstrated proficiency and sustained operational use.

• Coordinate targeted interventions for user groups experiencing adoption difficulties.

• Support peer learning, train-the-trainer activities, and communities of practice.

• Maintain training records, assessment results, adoption dashboards, feedback logs, and improvement actions.

• Prepare Government briefings on training progress, proficiency, adoption barriers, and recommended actions.

• Update learning materials and user guidance as AI capabilities, reporting tools, and mission workflows evolve.

• Coordinate with the program’s broader training and knowledge management teams to maintain consistent content and delivery practices.

Required Qualifications

The following must-have qualifications…