Description:Drive enterprise adoption of agentic AI - orchestrate the people, process, and communication side of rollout so that engineering, business, and risk stakeholders embrace and effectively use the platform.
Required Qualifications:- 7-10 years in change management, digital transformation, or enterprise technology adoption.
- Demonstrated experience leading adoption for large-scale AI, automation, or intelligent workflow deployments.
- Working knowledge of agentic AI - multi-agent systems, LLM-powered tools, human-in-the-loop design.
- PMP a plus.
- Exceptional executive communication and cross-functional stakeholder management skills.
Roles/Responsibilities:- Develop AI adoption roadmaps covering stakeholder sequencing, change impact assessments, and go-live milestones.
- Conduct workflow assessments to identify resistance patterns and role-level impacts before deployment.
- Facilitate executive briefings and build internal AI champion networks across business units.
- Design and deliver role-specific training programs, enablement assets, and sandbox learning environments.
- Track adoption KPIs (usage rates, productivity deltas, confidence scores) and translate insights into targeted interventions.
- Embed responsible AI principles - transparency, accountability, human oversight - into every rollout design.
- Collaborate with IT, legal, and compliance to ensure deployments operate within governance guardrails.
Key role:- Build and execute the adoption strategy: stakeholder mapping, persona analysis, value-realization plans, success metrics.
- Run change-impact assessments across squads, business units, and operating teams; identify and address resistance.
- Partner with HR, L&D, Risk, Legal, and Compliance on responsible-AI policy rollout, acceptable-use guidelines, and audit readiness.
- Define and track adoption KPIs (active users, tasks automated, time saved, defect deflection) and present to executive sponsors.
- Establish feedback loops between users and the engineering team; manage the intake of feature requests, defects, and risks.
- Lead rollout waves: pilot MVP ? define entry/exit criteria, comms plans, and rollback playbooks.
- Strong understanding of how AI/LLM/agentic tools change knowledge-worker and developer workflows.
- Excellent executive communication, facilitation, and stakeholder-management skills.
- Comfort with responsible AI principles, model risk, and enterprise compliance frameworks.
Years of Experience: 10 Years of Experience 
