Training and Adoption Lead

Key Responsibilities

• Collaborate with program leadership, technology teams, change management personnel, and business stakeholders to define the training and adoption strategy aligned with the AI/automation initiative roadmap.
• Conduct training needs assessments across departments, identify skill- and adoption-gaps (both technical and behavioral) related to AI, automation, analytics and new ways of working.
• Design and develop a modular training curriculum and materials (e-learning modules, instructor-led sessions, microlearning, job aids, playbooks, FAQs) tailored to varied audiences (technical, business users, leadership).
• Lead delivery of training programs (virtual, in-person/hybrid, self-paced), workshops, lunch-and-learns, hands-on labs, sandbox sessions for AI-tools and new workflows.
• Lead user adoption initiatives: define adoption KPIs, track usage, monitor readiness, identify and manage resistance, surface user pain-points, and drive remediation.
• Partner with change management and communications teams to support rollout: prepare communication plans, stakeholder engagement, launch events, change champion communities, and user support structures.
• Maintain a knowledge infrastructure: LMS platform administration, learning portal, user guides, job aids, repositories, templates, and feedback loops.
• Facilitate communities of practice, peer coaching, train-the-trainer programs and on-going support to embed new capabilities.
• Monitor and report on training/adoption metrics (e.g., completion rates, user proficiency, tool usage, productivity gains, user satisfaction) and continuously refine the approach based on data.
• Stay abreast of AI tools, digital adoption best practices, emerging learning technologies (e.g., digital adoption platforms (DAPs), in-app guidance, micro-learning) and recommend enhancements.
• Ensure accessibility, inclusivity and that training/adoption activities adhere to state policies, data privacy/security requirements and governance frameworks.
• Develop training content and user guides compliant with WCAG 2.1 AA and Section 508 accessibility standards, ensuring materials are usable by all employees, including those with disabilities.
• Provide multilingual and culturally inclusive training materials to support equitable adoption across the Commonwealth’s diverse workforce.Integrate FAIR principles (Findable, Accessible, Interoperable, Reusable) into all training modules to help users understand and apply data governance and metadata best practices.
• Collaborate with governance and security leads to incorporate responsible AI, ethical use, and data privacy awareness into onboarding and continuous learning.
• Establish measurable adoption KPIs tied to deliverables (e.g., % trained users, % proficiency improvement, % reduction in support tickets) and use dashboards to report progress to stakeholders.
• Support sandbox and phased rollout testing by designing guided walkthroughs and “test-to-learn” exercises that validate user readiness before production deployment.
• Coordinate with the Communications and Change Management teams to reinforce success stories and sustain engagement post-rollout.
• Provide risk-mitigation support around user adoption issues (e.g., lack of usage, fallback to legacy processes) and work proactively to minimize disruption.
• Other duties as assigned within scope of contract.

Minimum Qualifications

• Bachelor’s degree in Instructional Design, Education, Information Technology, Organizational Development, or a related field (or equivalent experience).
• 4+ years of experience in training, learning & development, adoption/enablement roles—preferably in a technology or AI environment or regulated/government sector.
• Experience designing and delivering training for non-technical audiences on new technologies/workflows.
• Familiarity with AI/ML, automation, analytics, or digital transformation initiatives (even if not hands-on model development) and the implications for user adoption.
• Strong facilitation, communication and stakeholder engagement skills (across business, technical, and leadership audiences).
• Proficiency with Learning Management Systems (LMS), authoring tools (e.g., Articulate, Captivate), and comfort designing virtual/hybrid training.
• Demonstrated ability to define, track, and report adoption metrics and use feedback to drive continuous improvement.
• Understanding of accessibility and inclusive design principles (Section 508, WCAG 2.1 AA).
• Familiarity with FAIR data principles and their application to training, adoption, and governance initiatives.Demonstrated ability to deliver structured, measurable training aligned with performance metrics and phased rollout milestones.
• Change-management mindset: ability to identify resistance, drive adoption, and support transition from legacy ways of working.
• US Citizenship or Permanent Residency required.
• Must reside in the Continental US.
• Depending on the government agency, specific requirements may include public trust background check or security clearance.

Preferred Qualifications

• Master’s degree or relevant certification(s) such as Certified Professional in Learning and Performance (CPLP), or similar.
• Government contracting experience, or familiarity with state procurement, regulations or public-sector environment.
• Previous experience working on AI/ML or digital-automation programs (e.g., generative AI, RPA, analytics).
• Experience with digital adoption platforms (DAPs) and blended/hybrid learning ecosystems.
• Experience in public-sector/government IT transformation programs.
• Experience developing training programs supporting responsible or ethical AI adoption within regulated environments.
• Exposure to multilingual content development and localization for statewide training delivery.
• Familiarity with learning analytics dashboards or data-driven methods for tracking adoption success across user segments.