Ensure AI tools are consistently used and integrated into daily work, not just explored; Identify and remove barriers to adoption
Deliver enablement at scale, including role-based learning journeys, toolkits, office hours/coaching, and a champion network in partnership with training and operations
Help establish AI COE framework to promote responsible AI use, best practices, training and enablement programs, success metrics, and communication
Partner with training and operations teams to develop role-based enablement across the enterprise (sales, service, ops, leadership)
Equip teams to effectively use AI platforms, Copilot tools, AI agents, and prompt & agent libraries
Provide ongoing support through office hours, coaching, and trainings materials
Reinforce expectations for when and how AI should be used; Ensure responsible AI usage by incorporating governance and guardrails into training, communications, and playbooks
Partner with business and operations teams to roll out AI capabilities and integrate them into daily work. Develop change management strategies and educate teams on AI benefits.
Identify where AI can meaningfully improve workflows, quality, and speed; Help define roles of AI (automate, augment, or escalate) vs human
Ensure AI usage is clear, repeatable, and consistent to shift from manual to AI-assisted workflows
Understand pain points and translate needs into clear, actionable AI use cases; Identify where AI can deliver meaningful workflow improvements and practical impact
Bring structured recommendations to inform prioritization and sequencing of AI efforts
Act as a bridge between business users and AI/product teams to ensure solutions reflect real needs, are adopted, and deliver value; Provide insight into what will drive adoption and proactively identify where solutions are likely to stall
Support business teams in owning outcomes and driving adoption; Ensure success metrics are defined and use data to continuously refine prioritization and enablement strategies
Gather feedback from users on what’s working, where friction exists, and where trust is low
Partner with engineering to improve usability and effectiveness of AI solutions
Continuously refine enablement materials, guidance, and approach
Enable acceptable AI usage, citizen development, and sharing & reuse of AI tools
Track and report AI impact
Share success stories, use cases, best practices, and lessons learned to accelerate adoption across teams.
Requirements
5-10+ years in technology enablement, product, operations, consulting, or transformation roles.
Experience driving adoption of new tools or technologies at scale
Strong experience in:
o Workflow/process design
o Change management or transformation
o Stakeholder engagement across business teams
Strong technical fluency and understanding of AI tools and capabilities (e.g., Copilot, LLMs)
Ability to translate business needs into practical usage of technology. Experience scaling AI or advanced technology use cases from pilots into sustained adoption.
Proven ability to drive behavior change and adoption, not just deployment
Strong communication, facilitation, and influence skills across all levels of the organization
Ability to translate strategy into practical execution