AI Enablement Lead (OKC) Non-Safety Sensitive

Mathis Brothers

$100K — $120K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-10 years of experience in training, enablement, business analysis, or a technology-facing role.
  • Degree in Business, Information Systems, or a related field preferred.
  • Hands-on experience with generative AI tools and prompt design.
  • Demonstrated ability to deliver training and documentation for non-technical audiences.
  • Solid understanding of data privacy and information security in business contexts.
  • Experience measuring adoption and reporting on business value to leadership.
  • Strong communication skills, both written and verbal.

Responsibilities

  • Assist departments in leveraging AI safely and effectively.
  • Identify valuable AI use cases and validate them against measurable outcomes.
  • Conduct training sessions and provide hands-on support for staff using AI tools.
  • Develop reusable patterns and workflows for company-wide application.
  • Measure and report on AI adoption, value, and workflow effectiveness monthly.
  • Collaborate with engineering to develop sustainable AI solutions.
  • Lead an AI Enablement Specialist to deliver training and support initiatives.

Benefits

  • Support for professional development and continued education.
  • Collaborative team environment.
  • Opportunities to shape AI use in multiple departments.
  • Participation in pioneering AI initiatives within the organization.
  • Structured training sessions and resources for professional growth.
Full Job Description
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES FOR AI ENABLEMENT LEAD:

  • Help departments across the company use AI safely and productively.
  • Find valuable AI use cases within business departments and qualify each one against a named owner and a measurable outcome.
  • Teach employees to use approved AI tools through training sessions, office hours, and hands-on support.
  • Create approved patterns, reusable prompts, and repeatable workflows that employees can apply to daily work, and document good practices.
  • Measure adoption and value, and report monthly on active use, repeatable workflows, cost, measured value, and promoted enterprise solutions.
  • Hand proven ideas to engineering when they need a durable company solution.
  • Help employees move from experimentation to reliable daily use, and track recurring needs that indicate a broader company requirement.
  • Support execution of the Merchandising AI Roadmap, beginning with Inventory agents, partnering with the merchandising business owner and the Director of Engineering & AI on baseline, data readiness, pilot milestones, human-approval controls, adoption, and measured business result, and report biweekly.
  • Ensure human-approval and risk controls are defined and observed for every AI workflow placed in front of employees.
  • Lead the AI Enablement Specialist, including hands-on employee support, training and office hours, documentation, and tracking of recurring needs.
  • Partner with IT Operations on AI and automation in the support model, including approved answers drawn from company documentation, guided password, access, software, printer, and device troubleshooting, approved self-service workflows, and ticket creation, summarization, categorization, prioritization, and routing.
  • Support the AI service-desk implementation sequence through baseline and knowledge preparation, a pilot with people in the loop, expansion and stabilization, and the ninety-day proof period, improving the knowledge base, workflows, and AI responses as new issues appear.
  • Maintain the catalog of approved AI tools and use cases, including intake, evaluation, and a documented approval path for new requests.
  • Partner with Human Resources, Risk, and IT Operations to keep AI use aligned with company policy, data-privacy requirements, and information-security standards, and refresh that guidance as tools change.
  • Track AI tool licensing, consumption, and cost by department, and report cost against measured value.
  • Build a role-based enablement curriculum, including onboarding content for new employees and refresher training as tools and approved patterns change.
  • Establish a feedback loop that captures failures, unsafe or inaccurate outputs, and near misses, and route those findings to engineering and policy owners for correction.
  • Enforce all company policies and procedures and perform disciplinary actions when necessary.
  • Ensure the safety and productivity of employees.
  • Perform any other duties as directed by management.


Education and/or Work Experience Requirements:

  • 5-10 years of experience in training, enablement, business analysis, process improvement, or a technology-facing role.
  • Degree in Business, Information Systems, Communications, Education, or related field preferred.
  • Demonstrated experience delivering training and building documentation for non-technical audiences.
  • Hands-on experience with generative AI tools and prompt design, with the judgment to recognize where AI is and is not appropriate.
  • Experience measuring adoption and reporting business value to leadership.
  • Working knowledge of data-privacy, information-security, and acceptable-use considerations for AI in a business setting.
  • Experience partnering with technical teams to move proven ideas into supported solutions.
  • Prior experience supervising, coaching, or leading staff preferred.
  • Strong communication skills, both written and verbal.
  • Ability to work independently and as part of a team.
  • Ability to repetitively use arms, hands and fingers.
  • Ability to communicate effectively with team members.
  • Positive attitude when working with internal and external customers.
  • Knowledge of employment and safety procedures.


PHYSICAL ACTIVITY REQUIREMENTS: To successfully perform the essential functions of the job, an employee must be able to perform the following: Stooping, kneeling, crouching, reaching, standing, climbing, crawling, walking, pulling, lifting, talking, typing, hearing/listening and repetitive motion.

Heavy Work: Lifting up to 20 lbs occasionally.

Work Environment: Indoor, climate-controlled environment.

Mathis Home promotes and maintains a drug-free work environment.

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