AI Adoption & Enablement Lead

Bridge Specialty Group•Atlanta, GA

17h•Hybrid

About The Position

Brown & Brown is seeking an AI Adoption & Enablement Lead to join their growing team. This role focuses on leading and scaling AI adoption across retail B&B businesses by delivering hands-on workshops, coaching employees on practical AI solutions, and improving the overall AI enablement program. The position is an opportunity to join a small, high-performing team at the forefront of enterprise AI adoption. The lead will help teams integrate AI into their day-to-day workflows and unlock measurable business value. Alongside training delivery, the role involves supporting the design and implementation of custom AI solutions, partnering closely with technical teams and stakeholders. The primary goal is to build AI literacy, drive adoption, and support teams in integrating AI into their daily work, aiming for real behavior change where AI becomes an integral part of how work is performed. This role also translates business needs into actionable AI opportunities and provides input into prioritization to help the organization focus on solutions that will drive adoption and deliver impact.

Requirements

Experience delivering training, workshops, enablement programs, or educational content.
Ability to explain technical concepts to non-technical audiences.
Hands-on experience using modern AI tools and large language models.
Understanding of prompt engineering, retrieval systems, and AI-powered workflows.
Working knowledge of Python.
Ability to translate business challenges into practical AI solutions.
7+ years in technology enablement, product, operations, consulting, or transformation roles.
Experience driving adoption of new tools or technologies at scale.
Strong experience in: Workflow/process design, Change management or transformation, 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.
Enthusiastic, personable, patient, and encouraging; able to adapt to beginners, power users, and senior leaders.
Strong business judgment and ability to translate business problems into practical AI solutions.
Ability to quickly learn new capabilities and help others adopt them effectively.

Nice To Haves

Insurance broking business operations experience is a plus.
AI adoption or enablement specialist.
Former consultant, business analyst, operations lead, or PM with strong AI skills.
Tech-savvy professional who enjoys teaching and coaching others.
Experience in global or multi-entity organizations.
Teammate.

Responsibilities

Deliver AI workshops, AI training, enablement program, office hours, and coaching sessions for retail associates across varying levels of experience.
Facilitate workshops with executives, managers, and frontline employees.
Help users build practical AI solutions using approved tools such as Copilot, ChatGPT, Gemini, Claude, and NotebookLM, following guidelines.
Manage workshop operations, including intake, scheduling, waitlists, participant communications, follow-up, and reporting.
Track outcomes, adoption metrics, value creation, user feedback, and success stories; maintain program dashboards and summary reporting.
Stay current on emerging AI capabilities and identify opportunities to improve training, adoption, and change management efforts.
Support the AI champion community, including onboarding, communications, training tracking, and recognition updates.
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 & 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, & 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.
Share success stories, use cases, best practices, and lessons learned to accelerate adoption across teams.