Enterprise AI Transformation Lead

RWE Gruppe; Austin (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Short-Term Disability

Long-Term Disability

401(k) match

Education Assistance

Parental Leave

Paid time off

Holidays

Job summary

RWE Americas, LLC in the United States is seeking a senior AI transformation professional to lead adoption of AI-enabled workflows across functions. You will design pilots, define success criteria, and create department-specific use cases with hands-on support for champion teams.

The role requires strong collaboration with IT and business units, plus the ability to develop practical enablement materials and training that scale across the organization.

Qualifications

• Bachelor’s degree in business, STEM, or related field.
• 5+ years in technology adoption, enablement, or digital transformation.
• Hands-on experience with generative AI tools.
• Proven track record driving end‑user adoption.
• Strong ability to translate new functionality into practical solutions.

Responsibilities

• Drive enterprise AI adoption across departments.
• Develop department-specific AI use cases and tools.
• Create and maintain enablement collateral and training content.
• Assist with AI workflow blueprinting and program management.

Skills

Generative AI

End-user adoption

Enablement collateral

Pilot design

Project management

Stakeholder mgmt

Effective communication

Office productivity

Education

Bachelor's degree

Tools

Excel

PowerPoint

SharePoint

MS Teams

Miro

Job description

RWE Americas, LLC in the United States is seeking a senior AI transformation professional to lead adoption of AI-enabled workflows across functions. You will design pilots, define success criteria, and create department-specific use cases with hands-on support for champion teams.

The role requires strong collaboration with IT and business units, plus the ability to develop practical enablement materials and training that scale across the organization.