AI Enablement Lead

Key Responsibilities

Drive Enablement, Adoption, and Effective Use of AI

• 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

Build Practical AI Literacy

• 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

Support Integration of AI Into Workflows

• 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

Shape and Prioritize High-Value AI Opportunities

• 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

Drive Continuous Improvement and Scalable Adoption

• 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

Qualifications

• 5-10+ years in technology enablement, product, operations, consulting, or transformation roles