We are looking for an Enablement Execution Lead to drive the on-ground training and adoption of AI-powered development tools across engineering teams.

In this role, you will be the face of the AI-SDLC program , delivering hands-on training, engaging with engineers, and ensuring that learning translates into real-world adoption. You will work closely with cross-functional teams to bridge the gap between training design and actual usage.

This is a high-impact, execution-focused role requiring strong facilitation skills, technical understanding, and the ability to manage diverse engineering audiences.

Key Responsibilities

1. Training Delivery & Facilitation

• Deliver live training sessions, workshops, and hands-on labs for engineering teams.
• Facilitate modules across all training waves (awareness to advanced use cases).
• Run live lab sessions using tools like Windsurf, Claude Code, and Claude Chat .
• Manage session logistics including environment setup, access, and troubleshooting.
• Adapt training delivery based on real-time feedback and learner engagement.

2. Champion Network Engagement

• Act as the primary point of contact for the change champion network .
• Conduct onboarding and regular check-ins with champions.
• Coach champions to drive adoption within their teams.
• Identify and nurture new champions among early adopters.

3. Adoption Support & Feedback

• Track engagement and adoption trends post-training.
• Gather and analyze feedback after each session.
• Share insights, risks, and resistance patterns with program leadership.
• Capture success stories and use cases to support program communication.

4. Collaboration with L&D

• Partner closely with the Client L&D team to co-create and refine training plans.
• Align on cohort planning, scheduling, and delivery approach.
• Share feedback, attendance data, and observations for continuous improvement.
• Support L&D teams in building internal training capability for long-term sustainability.

5. Content & Curriculum Support

• Collaborate with the content team to refine training materials and labs.
• Test and validate lab environments before delivery.
• Provide insights on learner challenges to improve future training waves.

6. Reporting & Coordination

• Maintain attendance, completion, and performance tracking.
• Share regular updates on training progress, learner sentiment, and risks.
• Support final handover including documentation and transition to L&D teams.

What You’ll Deliver

• Training sessions and workshop execution across all program waves
• Adoption insights, feedback reports, and engagement metrics
• Champion network development and handover
• Training runbooks and transition support for L&D

Required Skills & Experience