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AI Adoption & Enablement Lead

Job in Dallas, Dallas County, Texas, 75201, USA
Listing for: Brown & Brown
Full Time position
Listed on 2026-07-11
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software), Change Management, AI Evaluation
Job Description & How to Apply Below

AI Adoption & Enablement Lead

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

Brown & Brown is seeking an AI Adoption & Enablement Lead to join our growing team in Atlanta, GA, Dallas, TX, or Daytona Beach, FL!

Lead, scale 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. This is an opportunity to join a small, high-performing team at the forefront of enterprise AI adoption. Helping teams integrate AI into their day-to-day workflows and unlock measurable business value alongside training delivery, you'll support the design and implementation of custom AI solutions, partnering closely with technical teams and stakeholders.

This role focuses on building AI literacy, driving adoption, and supporting teams integrating AI into their day-to-day work. The goal is real behavior change, where AI becomes part of how work is performed, not just a tool that is available. This role 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.

How You Will Contribute:

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

Experience delivering training, workshops, enablement programs, or educational content

Ability to explain technical concepts to non-technical audiences

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

AI & Technical Skills

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

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 training 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,…

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