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AI Enablement Manager

The LaSalle Network

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Arlington, TX · Posted November 11, 2026

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How AI is used in this kind of work

Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Key Details

Compensation: $180,000 – $190,000 with potential Bonus

Location: Arlington, TX

Work Model: ONSITE 4 to 5 Days a week

Benefits: Are eligible to enroll in benefits, including medical, dental, and vision

Employment Type: Full-Time

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis; our client will not sponsor applicants for work visas now or in the future

We are seeking an experienced AI Enablement Manager to help employees adopt AI and digital tools in practical, responsible, and sustainable ways. This role will develop training programs, resources, and user communities that help teams incorporate new capabilities into their everyday work.

The ideal candidate combines change leadership, strong communication, program management, and hands-on knowledge of generative AI. This person should be able to translate technical capabilities and governance requirements into guidance that nontechnical users can understand and apply.

Key Responsibilities

Develop and deliver role-based workshops, demonstrations, office hours, playbooks, and other learning resources

Help business teams identify practical opportunities to use AI and workflow automation

Support the rollout and adoption of approved enterprise AI and productivity tools

Partner with technology, security, governance, and business teams to promote responsible use

Create reusable prompt examples, workflow guides, and use-case libraries

Provide clear guidance on data handling, output review, privacy, and human oversight

Build and support a network of employees who can encourage adoption within their teams

Gather user feedback, identify adoption barriers, and recommend program improvements

Track participation, usage, user confidence, time savings, and other measures of program effectiveness

Capture success stories and share repeatable practices across the organization

Evaluate emerging AI tools and identify appropriate business applications

Lead pilot programs and help scale successful capabilities

Manage and develop a small team

Maintain professional and ethical business practices

Required Qualifications

Bachelor’s degree in Business, Technology, Learning, Communications, Organizational Development, or a related field, or equivalent professional experience

7+ years of experience in technology adoption, organizational change, learning and development, digital workplace, product enablement, or a related area

Hands-on familiarity with enterprise generative AI and workplace-productivity tools

Experience teaching practical technology use cases to nontechnical audiences

Strong facilitation, communication, relationship-building, and program-management skills

Ability to translate privacy, security, governance, and responsible-AI requirements into practical user guidance

Experience developing learning programs, adoption resources, or employee communities

Ability to work independently, take ownership, and deliver results in a changing environment

Prior leadership or people-management experience

Preferred Qualifications

Experience supporting enterprise AI assistants, low-code platforms, workflow-automation tools, or agent-building capabilities

Experience administering or supporting the rollout of enterprise technology products

Familiarity with adoption metrics, employee feedback programs, and change-management methods

Experience working in a large, complex, or distributed organization

Experience launching new programs, products, or organizational capabilities

Ready to take the next step in your career? Apply today. We’re actively interviewing and excited to meet you.

#LI-BH1

LaSalle Network is an Equal Opportunity Employer m/f/d/v.

LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.

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Compensation: $180,000 - $190,000 with potential Bonus

-

Location: Arlington, TX

-

Work Model: ONSITE 4 to 5 Days a week

-

Benefits: Are eligible to enroll in benefits, including medical, dental, and vision

-

Employment Type: Full-Time

-

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis; our client will not sponsor applicants for work visas now or in the future

We are seeking an experienced AI Enablement Manager to help employees adopt AI and digital tools in practical, responsible, and sustainable ways. This role will develop training programs, resources, and user communities that help teams incorporate new capabilities into their everyday work.

The ideal candidate combines change leadership, strong communication, program management, and hands-on knowledge of generative AI. This person should be able to translate technical capabilities and governance requirements into guidance that nontechnical users can understand and apply.

Key Responsibilities

-

Develop and deliver role-based workshops, demonstrations, office hours, playbooks, and other learning resources

-

Help business teams identify practical opportunities to use AI and workflow automation

-

Support the rollout and adoption of approved enterprise AI and productivity tools

-

Partner with technology, security, governance, and business teams to promote responsible use

-

Create reusable prompt examples, workflow guides, and use-case libraries

-

Provide clear guidance on data handling, output review, privacy, and human oversight

-

Build and support a network of employees who can encourage adoption within their teams

-

Gather user feedback, identify adoption barriers, and recommend program improvements

-

Track participation, usage, user confidence, time savings, and other measures of program effectiveness

-

Capture success stories and share repeatable practices across the organization

-

Evaluate emerging AI tools and identify appropriate business applications

-

Lead pilot programs and help scale successful capabilities

-

Manage and develop a small team

-

Maintain professional and ethical business practices

Required Qualifications

-

Bachelor’s degree in Business, Technology, Learning, Communications, Organizational Development, or a related field, or equivalent professional experience

-

7+ years of experience in technology adoption, organizational change, learning and development, digital workplace, product enablement, or a related area

-

Hands-on familiarity with enterprise generative AI and workplace-productivity tools

-

Experience teaching practical technology use cases to nontechnical audiences

-

Strong facilitation, communication, relationship-building, and program-management skills

-

Ability to translate privacy, security, governance, and responsible-AI requirements into practical user guidance

-

Experience developing learning programs, adoption resources, or employee communities

-

Ability to work independently, take ownership, and deliver results in a changing environment

-

Prior leadership or people-management experience

Preferred Qualifications

-

Experience supporting enterprise AI assistants, low-code platforms, workflow-automation tools, or agent-building capabilities

-

Experience administering or supporting the rollout of enterprise technology products

-

Familiarity with adoption metrics, employee feedback programs, and change-management methods

-

Experience working in a large, complex, or distributed organization

-

Experience launching new programs, products, or organizational capabilities

Ready to take the next step in your career? Apply today. We're actively interviewing and excited to meet you.

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